51 job fairs found

Memorial Day Veterans Hiring & Resource Fair Wednesday, May 22nd, 2019 9am-1pm 9 - 10am (workshops) 10am - 1pm (Hiring Event) Jesse Brown VA Medical Center 820 S. Damen Ave., Chicago IL 60612 Damen Pavilion, Kizer Conference Center Meet Veteran friendly employers with employment opportunities. Veteran Service organizations will also be present to provide assistance and resources to Veterans looking to re-enter the workforce. Please come prepared to network and interview with employer representatives. A partnership of the American Job Center (Pilsen Office), and the U.S. Department of Veterans Affairs Jesse Brown Veterans Health Care System. Proudly supported by Local 9 IBEW.

PLEASE READ COMPLETELY BEFORE REGISTERING: WANT TO MAKE $22/HR ASAP??? INTERESTED IN WORKING FROM THE COMFORT OF YOUR HOME???WORK AS MUCH OR AS LITTLE AS YOU LIKE! PART-TIME/FULL-TIME! NO HOURLY MINIMUMS OR MAXIMUMS!!!REGISTER FOR YOUR COACHING CLASS TODAY!!! PREPARATIONS: Make sure you are qualifiedIn order to qualify for this coaching day, you must have the following:- A Bachelor's Degree or higher in ANY field- One year of teaching experience which can include Summer Camp, Private Tutoring, Sunday School, etc.- Must be legally eligible to work in the U.S. or Canada Once you have read and understood the opportunity please complete the following steps:1. Acquire your Eventbrite Ticket (ensure your email, event location and time are correct)2. Wait for an email from "VIPKID Get Hired Now" to complete your application*** PLEASE NOTE - If you have applied to VIPKID in the past, you ARE eligible to take this Coaching Class, BUT you must register on Eventbrite with a DIFFERENT email address than the one you've used with VIPKID *** What should you expect?:Learn more about this fast growing company and how we are making a global impact. We have over 60,000 teachers in our community and you will see first hand what its like to be a VIPKID teacher.Watch VIPKID Instructors demonstrate key skills for teaching ESL online. This includes Total Physical Response, Energy, Phonics, Student Output, and Appropriate Language. We will also practice pacing, & reward systems.Work with current VIPKID teachers and mentors and get live feedback on what to practice and work on before your Mock Class. You will get a chance to see current teachers in their online classrooms! What To Bring -Please bring a laptop with video camera (we will have some for your use if you cannot bring your own)-Update your flash and chrome browser-You do not need to bring a resume or any documents-Casual attire-There will be snacks, coffee, and beverages provided as well - no lunch. We will take breaks throughout the day.-We love kids, but we are unable to provide accommodations for children during the session. Next Steps after Coaching DayYou will leave with a Mock Class scheduled for the following week. This is the last stage of interview process - you will do it from home, on your own internet connection. How Long is Coaching Day?Coaching Day is 4 hours. You will learn, practice, and get access to resources and teachers that you can't find online. The VIPKID Online opportunity - Please read complete description. Looking for a flexible, professional online opportunity? VIPKID is the world leader in online English education for kids 12 and under. Rediscover the joy of teaching with VIPKID's platform and curriculum. No commute, no grading, no lesson planning required! Instruct kids in your spare time during early mornings or evenings. Teaching just 1-3 hours part-time per day earns you between $1,300-$2,700 a month. It's as easy as making a Skype call, with interactive and fun curriculum and lesson plans made for your use. - Ranked #2 by Forbes on its 2017 "Top 100 Remote Work" companies- The most active online English teaching community in the world- Top-ranked online teaching company on Indeed and Glassdoor with 4-star rating and 86% CEO approval- Backed by Sequoia Capital and Tencent Holdings (currently valued at $1.5 billion) Requirements and Qualifications to become an Online English Teacher/Online ESL Teacher:- Bachelor's Degree or higher- Experience within the U.S./Canadian School System (Taught or Attended)- Eligible to legally work in the U.S. or Canada- Desire to engage and inspire young learners *Note on Teaching Experience: This can include educators, professors, tutors, teaching assistants, elementary teachers, traditional teaching experience or the equivalent in mentoring, tutoring, or alternative education such as summer counselor or Sunday school teacher. Please list ANY teaching experience available to be considered for an interview. While helpful, there's no requirement for teaching certificate, state certification, TESOL, TEFL, or ESL experience. All classes and business are conducted in English. Other experience you may have that are not requirements, but are preferred:- Online English Education / Educator / Online English Teaching / Online Instructor- Home-Based Online English Teacher / Online English Tutor / Online English Tutoring- Online English Teacher Assistant / Online English Elementary Teacher- Summer Teacher / Casual Teacher / Assistant Teacher / Teaching Assistant- Elementary School Teacher / High School Teacher- Substitute Teacher / Teacher Assistant / Lead Teacher The Basics of the Online English Teacher Role:- The classes: 25-minute full immersion English language, 1-on-1 classes- The pay: Depends on your experience, but as reported on Indeed, averages around $19/hour (for two 25 min. classes)- The curriculum: U.S. Common Core aligned lesson material, designed by our in-house curriculum team- Time of day: You choose your schedule from available class slots; peak student demand hours are listed below- Location: Conveniently teach remote from your own home - no commute!- What you need: You only need is computer, a strong internet connection, and a headset- Benefits: Learn best online teaching experiences from our professional team at no cost- The culture: You will learn about Chinese culture, families, and lifestyle through classroom exchanges with our students Contract type: Independent contractorStart date: Immediately Reserve your tickets today through Eventbrite and you will receive an email from us within 24-48 hours to complete your application.

State Farm leads a host of employers at the Central Illinois Job Fair, to be held on Thursday, September 12, 2019 at the RiverPlex!

The commission is seeking qualified candidates to fill all open positions in suburban schools. TEACHER SUBSTITUTE TEACHER SUPPORT STAFF (COUNSELOR) PARAPROFESSIONAL SECRETARY SOCIAL WORKER MAINTENANCE FOOD SERVICE INSTRUCTIONAL COACHES PRINCIPAL ASSISTANT PRINCIPAL DEAN Preregistration is recommended but notrequired, on the spot interviews will beavailable from district level administration.A licensure specialist from South CookIntermediate Service Center will be on siteto answer questions and confirmqualifications for any open positions. >> Attend with professional attire andcredentials for on the spot interviewswith district level adminstration>> Licensure Specialist will be onsite toclarify licensure qualification questions>> Pre-registration recommended:https://goo.gl/forms/17Kinw6iXmVj92do1 School Districts Attending: Lincoln ESD 156 Brookwood School District 167 Hazel Crest School District 152.5 South Holland District 150 Harvey School District 152 Calumet City School District 155 Pembroke Community Consolidated School District 259 SunnyBrook District 171 Dolton School District 149 Oak Park and River Forest High School District 200 Flossmoor School District 161 Elementary School District 159 Prairie Hills District 144

NOT YOUR TYPICAL JOB FAIR! Sales Jobs Network specializes in providing a personalized, private interview experience for sales-specific positions in varying levels and industries. Avoid noisy ballrooms and impersonal job fairs. By attending our event, you will receive quality interviews in a one-on-one setting. EVENT DETAILS: Thursday, July 11th,9:00am-1:00pEmbassy Suites707 E. Butterfield RoadLombard, IL 60148 WHAT TO EXPECT:When you arrive, our event facilitator will educate you on the details of each company and position. You will also receive an Event Program providing additional information on the opportunities. You then choose which companies you would like to interview with. Interviews take place directly with the hiring manager for each company in their PRIVATE suite. Some employers have made offers on the spot! Many opportunities include base salaries, bonus, commission, health, dental, and life insurance, 401(k) plans with company matches, company cars/allowances. Whether you are looking to get into sales, or make the next move in your sales career, this is an event you won't want to miss. Stop sending countless online resumes and make your first impression in person!

The Chicago Tribune Career FairTuesday, May 14, 201910:00 AM - 1:00 PMFountain Blue Banquets & Conference Center2300 Mannheim RoadDes Plaines, IL 60018 Plan to attend and meet face-to-face with several of the Chicagoland areas finest employers. All of the companies at our job fairs have open positions they are seeking to fill. Positions in the following areas are typically available:Sales, Customer Service, Call Center, Management, General Business, Marketing, Retail, Administrative, Insurance, Banking, Engineering, Accounting, Finance, Education, Law Enforcement, Government, Military, Hospitality, Human Resources, Technicians, Telemarketing, Healthcare, IT, and more. Tips for Success: Pre-registerReceive notifications of any updates or changes to the event, and receive information about upcoming events in your area. Dress professionallyFirst impressions go a long way. Bring multiple copies of your resume. Arrive any time between 10AM and 1PMPlan to spend 45 minutes to 1 hour at the event. Bring a friendAll job seekers are welcome. Prepare a brief but effective brag to let the people you meet with get to know you. Keep an open mindMeet with as many of the companies as you can; you may be pleasantly surprised at what you find. Remember, the best way to be considered for a position is to meet the hiring managers in person. Plan to attend this event! Questions? Phone: 815.308.5426

HANA Center will host its 2nd annual Job Fair on May 2nd, 2019 in partnership with Indo-American Center and Albany Park Community Center. Over 20 employers will be present looking for diverse candidates. Come find your new opportunity! Some companies include: The Metropolitan Club, Hilton, Lettuce Entertain You, Superdawg, US Census, and more! In preparation, we are hosting workshops to help you navigate a job fair! How do you make a great impression when there are so many other candidates? Come get your resume reviewed, practice your elevator speech, and get tips on how to prioritize for the employers you want to talk to! Call 773-583-5501 for more information.

Event Happens on First Friday of the Month.. To participate: Job Seekersmust complete profile onhttps://tao.ai/p/fff/_/ord Recruitersmust complete profile onhttps://tao.ai/p/fff/recruit/ord #FirstFridayFair (#FFF) is World's largest attended career fair with around 8,000 professionals and 500 recruiting companies. The data science and software development focussed career fair is delivered right at your desktop. No need to travel anywhere, just signup and wait for TAO.ai to organize your interactions. We've taken all the inefficiencies from the career fair and added everything that makes career fair a successful event. Just signup and experience the future of hiring delivered via TAO.ai (World's fastest growing AI led career development platform). Here's the process: When: Each month event occur on First Friday of the Month (Data and Technology hiring drive resume collection stops 4th Friday of previous month) Where: Over Skype/Google Hangout (TAO.ai will inform recruiter / job seeker if any match is found, so you will never waste your time in the queue). Process: > For Job Seeker*:1. Signup & Complete your profile on https://tao.ai/p/fff/_/ord(takes about 3min to complete the profile)2. Let TAO.ai reach-out to you via email to keep you informed on next steps.3. Attend #FirstFridayFair and provide your feedback and TAO.ai ensures it keeps bringing you in front of best opportunities it finds. > For Recruiter*:1. Signup & Complete your profile onhttps://tao.ai/p/fff/recruit/ord/(takes about 3min to complete the profile)2. Let TAO.ai reach-out to you via email to keep you informed on next steps.3. Attend#FirstFridayFairand provide your feedback and TAO.ai ensures it keeps bringing you in front of best candidates it finds. * Please note TAO.ai always value your time and ensures you would never have to wait unless you are contacted by TAO.ai about the potential matches Why it Matters? Best industry hirings are done with the power of networking and reference. TAO.ai using it AI platform uses the power of skill connectivity and identical profile portfolio to connect similar candidates to relevant opportunities. TAO.ai brings relationship and connection back into hiring. Takeaways? We expect the event to: 1. Create interesting conversations 2. Improve access to local talent and local opportunities 3. Provide a venue to promote effective hiring 4. Connect professionals with other seekers so they could collaborate and improve their search 5. Discover what some of the top businesses are looking for in a talent 6. Educate recruiters and job seekers about top trends and hiring skills that are trendy and rising. About TAO.ai: TAO.ai is an Artificial Intelligence led platform that is building and improving access to top talent, facilitate sustained hiring and create a smart ecosystem that works between top talent and top opportunities to promote long term prospects for businesses and professionals. TAO.ai has already resulted in some of the top hirings in the industry.

April 10th 9am-Noon Test drive the bus. Hire on the spot! Apply online or in person the day of the event: www.drivetheschoolbus.com

Saudi Students Clubs in Chicago are organizing Graduation ceremony and toastmaster competition for all Saudi students in the state of Illinois. The event is the biggest event in the Midwest that is sponsored by the Saudi Arabian Cultural Mission (SACM). The event will start with a career fair with an expected audience about +500.

United Career Fairs has over 20 years of experience in connecting candidates with hiring managers at companies ranging from small local businesses clear on up to Fortune 500 corporations. Register now to attend our upcoming career fair!  Tuesday, May 14th, 2019 – 6pm Sharp DoubleTree by Hilton Chicago – Downers Grove 2111 Butterfield Rd. Downers Grove, IL 60515 Our career fairs focus specifically on Sales, Business Development, Marketing, Customer Service, and Retail & Sales Management jobs, and offer you individual, face-to-face time with hiring managers from a variety of different companies. All of our events are held in the evening, making it easier to work around your existing job schedule. Here’s how it works:  we will welcome you with a formal executive presentation in which each company will introduce itself and the opportunities they offer. You will then be free to meet with hiring managers from each company that has attracted your interest. At the same time, you will be able to network not only with various employers, but also with other professionals.  www.unitedcareerfairs.com

Open to service members (Active, Guard, Reserve), veterans and spouses with current experience in the skilled trades: construction, logistics, warehousing, truck driving, maintenance, aviation, security, emergency response, telecommunications, hardware IT, welding, fabrication, etc. Some employers seeking supervisory and management roles in addition to hands-on roles, so all ranks/grades welcome. Meet major employers with hundreds of skilled trades job openings in Illinois and across the US. List of actual attending employers posted o/a April 22nd tohttp://militaryskilledtrades.com/belleville-employers/. Uniform or business casual. Please bring at least 10 copies of a resume if you are separating in the next 120 days or are currently available. If you are more than 120 days from separation a resume is not required (but suggested) and you are strongly encouraged to attend to learn more about each company and where their opportunities are in the US and what skills they seek and whether any additional licensing or certification is needed to be a viable candidate. Some employers may bring hiring managers with them. Please allocate enough time to spend at the career fair in the event you are asked if you'd like to interview on the spot.

United Career Fairs has over 20 years of experience in connecting candidates with hiring managers at companies ranging from small local businesses clear on up to Fortune 500 corporations. Register now to attend our upcoming career fair! Tuesday, May 14th, 2019 6pm SharpDoubleTree by Hilton Chicago Downers Grove2111 Butterfield Rd.Downers Grove, IL 60515 Our career fairs focus specifically on Sales, Business Development, Marketing, Customer Service, and Retail & Sales Management jobs, and offer you individual, face-to-face time with hiring managers from a variety of different companies. All of our events are held in the evening, making it easier to work around your existing job schedule. Heres how it works: we will welcome you with a formal executive presentation in which each company will introduce itself and the opportunities they offer. You will then be free to meet with hiring managers from each company that has attracted your interest. At the same time, you will be able to network not only with various employers, but also with other professionals. Whether you are a seasoned executive-level professional, just beginning your career, or anywhere in between, our events can connect you with as many valuable employer contacts in two hours as you would make in weeks of job searching on your own. Hiring managers will be onsite and ready to offer second interviews to qualified candidates. Click here to pre-register today and reserve your spot at this exclusive hiring event! We encourage professionals of all levels of experience to attend our Career Fair. From entry-level and mid-level (3-10 years of experience) all the way up to C-level, hiring managers are looking for candidates just like you. In order to make the most of your time at our event and to secure invitations for second interviews from the companies of your choice, you should be prepared to make a positive impression. We recommend that you: Arrive at the career fair no later than 6pm Wear business professional attire Bring at least 10-15 copies of your updated resume Display an engaging and motivated attitude PLEASE NOTE:You must actually attend the event in order to meet directly with hiring managers and to be considered for their positions. Typical positions for which employers may interview include:B2B, outside sales representatives, inside sales representatives, b2b sales, account managers, account executives, advertising, marketing, customer service, financial services, telemarketer, management trainee, financial advisor, sales managers, sales directors, telesales, territory sales representatives, insurance sales, pharmaceutical sales, route sales, retail sales representatives, retail sales managers, financial sales and many more! United Career Fairs Uniting Great Companies with Great Candidates!

Key Features 32 hours of Classroom training 100% Money Back Guarantee* 20 hours of self-paced video Includes 4 real industry-based projects Prepares for Cloudera CCAH CCA-500 certification exam Includes 3 simulation exams aligned to CCA-500 certification exam About the Course Educera's Big Data Hadoop Administrator Training provides an in-depth understanding of Hadoop framework, HDFS, and Hadoop cluster including Sqoop, Flume, Pig, Hive, and Impala. You will learn about cluster management solutions, core Hadoop distribution, and Cloudera Manager. Who needs to attend? Big Data Hadoop Administrator Training is best suited for: Systems administrators and IT managers IT administrators and operators IT Systems Engineer Data Engineer and database administrators Data Analytics Administrator Cloud Systems Administrator Web Engineer What learning outcomes can be expected? After completing this Big Data Hadoop Administrator Training, you will be able to: Understand the fundamentals of Big Data and its characteristics, various scalability options to help organizations manage Big Data. Master the concepts of the Hadoop framework; its architecture, working of Hadoop distributed file system and deployment of Hadoop cluster using core or vendor-specific distributions. Learn about cluster management solutions such as Cloudera manager and its capabilities for setup, deploying, maintenance & monitoring of Hadoop Clusters. Learn Hadoop Administration activities Learn about computational frameworks for processing Big Data Learn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster Learn about Cluster planning and tools for data ingestion into Hadoop clusters Learn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and Kafka Understand security implementation to secure data and clusters. Learn about Hadoop cluster monitoring activities Big Data Hadoop Administrator Training Course Agenda Lesson 1: Big Data & Hadoop Introduction Big Data Hadoop Administrator Training course you will learn about Big Data characteristics need for a framework such as Hadoop & its ecosystem. You will also be introduced to important daemons that support functioning of a Hadoop cluster. Topics covered are: Data & Existing Solutions Welcome to the world of Big DataWhat, Why & Where Case studies Hadoop & its Ecosystem Hadoop Core components Hadoop & its capabilities Lesson 2: HDFS Hadoop Distributed File System & Hadoops Distributions In this lesson, you will learn about Hadoop Distributed file System, its architecture, working & internals, Hadoop different distributions and about their similarities & differences. Topics covered are: Gain knowledge on HDFS its internals, working & features Learn about possibilities without HDFS Differentiate or find similarities in different distributions of Hadoop. Identify the requirements to set up a Hadoop cluster Lesson 3: Hadoop Cluster Setup & Working with Hadoop Cluster In this lesson, you will learn about steps to setup Apache Hadoop (core distribution) & Cloudera Distribution of Hadoop (vendor specific), cluster management solutions and their benefits and nut & bolts of Cloudera Distribution of Hadoop. You will also learn how to verify your cluster. Topics covered are: The need for Cluster Management Solution Choice of Installation methodsAutomated/ Manual Linux machines setupVirtualization & Cloud Hadoop Cluster SetupApache Hadoop V2 & Cloudera Distribution of Hadoop (CDH) Cloudera manager features and capabilities Working with Hadoop cluster, HDFS & data Working with management console/ UI ( user interfaces) & Linux terminals Understand administration scenarios Lesson 4: Hadoop Configurations & Daemon Logs In this lesson, you will learn about configuration files, ports & properties that relate to the functioning of Hadoop cluster. You will also learn about Hadoop daemons logs and how they help in problem scenarios for diagnosing & gathering information. Topics covered are: List and describe the files that control Hadoop configuration Explain how to manage Hadoop configuration with Cloudera Manager Locate configuration files and make changes Explain how to deal with stale configurations Explain the properties of addresses and ports of RPC and HTTP servers run by Hadoop Daemons Locate log files generated on hosts Filter information in log files Explain how to get diagnostic information from log files Lesson 5: Hadoop Cluster Maintenance & Administration In this lesson, you will learn Hadoop cluster maintenance and administration activities. You will also learn the shortcomings of Hadoop v1 and how they are fulfilled by Hadoop v2 features. Topics covered are: Explain how to add and remove nodes in an ad-hoc way Explain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodes Explain how to balance a cluster List the steps for managing services including adding, deleting, starting, stopping and checking the status of services Explain the procedure to enable rack awareness List the steps to add, remove and move role instances and hosts Cite the challenges faced with the first version of Hadoop Explain the features in the second version that help overcome the challenges faced in the first version Lesson 6: Hadoop Computational Frameworks In this lesson, you will learn about different types of computational frameworks, MapReduce & YARN concepts & configurations and how YARN manages applications. Topics covered are: Describe the role of computational frameworks Explain MapReduce concepts Describe MRv2 on YARN Explain configuring and understanding of YARN Describe YARN applications Describe YARN memory and CPU settings Lesson 7: SchedulingManaging resources via Schedulers In this lesson, you will learn cluster scheduling concepts, managing resources in your YARN cluster by usage of schedulers & queue management to manage jobs/applications. Topics covered are: Describe the scheduling concepts Indentify the Schedulers Explain the ways to manage resources using Schedulers Describe FIFO, Fair Scheduler, and Capacity Scheduler Explain how to configure Schedulers Explain queue management Lesson 8: Hadoop Cluster Planning In this lesson you will learn about how to plan your Hadoop cluster, considerations for cluster sizing & workload patterns in Hadoop cluster, making choices pertaining to variables such as hardware, software & different cluster deployment options. Topics covered are: Planning Hadoop Cluster General Planning considerations Workload and cluster sizing Making ChoicesHardware, Software & Network Making ChoicesMaster/Slave considerations News from the worldExisting Setups Lesson 9: Hadoop Clients & HUE interface In this lesson you will learn about Hadoop clients, nodes that support Hadoop clients and web interface such as HUE which can be used to work with Hadoop cluster and its components. Topics covered are: Explain the concepts of Hadoop client, edge nodes, and gateway nodes Install and configure Hadoop clients Explain how Hue works Install and configure Hue Describe how authentication and authorization is managed in Hue Lesson 10: Data Ingestion in Hadoop Cluster In this lesson you will learn about data ingestion types & tools. You will learn more about tools such as Flume, Sqoop that can be used for data import/export. Topics covered are: Understand Data Ingestion & its types Knowing about various data ingestion tools & their capabilities Understanding how Flume works Understanding how sqoop works In this lesson you will learn about open-source components (also known as services in CDH) that work within Hadoop ecosystem such as Hive, Hbase, kafka & Spark. Topics covered are: List some of the services and open-source components that work within the Hadoop ecosystem List the advantages and key features of Hive Describe briefly about the components of Hive Explain how to configure Hive in different modes Explain the architecture of HBase and cite the advantages of using HBase Explain the working of Apache Kafka Describe the architecture of Apache Spark Lesson 12: Hadoop SecuritySecuring Hadoop Cluster In this lesson you will learn about security aspects and security implementation in a Hadoop cluster to secure data & cluster. Topics covered are: Describe the different ways to avoid risks and secure data Identify the different threat categories Describe the security aspects for different nodes Describe operating system security Describe Kerberos and how it works Describe Service Level Authorization In this lesson you will learn about basics of cluster monitoring, choosing right monitoring solutions, Hadoop metrics categories & types and Cloudera managers features and capabilities that can be used for monitoring your Hadoop cluster. Topics covered are: Describe cluster monitoring Describe the ways to choose the right monitoring solutions List the features and considerations of Cloudera manager for monitoring Describe the different categories of Hadoop Metrics List the different types of Hadoop Metrics List the steps to monitor a cluster by using Cloudera Manager Why Educera? Educeras training is the best and value for time & money invested. We stand out because our customers: Get trained at the best price compared to other training providers. Get trained by the best trainer in the industry. Get access to course specific learning videos. Get 100% Money back guarantee. Training Fee: Early Bird: Booking at least one month prior to the class start date Training Venue: Venue will be confirmed to the classroom participants one week prior to the workshop start date and online participants will get the session attendance link before 4- 5 days of the training start date. Training Courses:CAPM | PMP | LSSGB | ITIL | CSM | CEH | PMI-ACP | CCBA | CBAP | CEH Please contact us for more details

Key Features 32 hours of Classroom training 100% Money Back Guarantee* 20 hours of self-paced video Includes 4 real industry-based projects Prepares for Cloudera CCAH CCA-500 certification exam Includes 3 simulation exams aligned to CCA-500 certification exam About the Course Educera's Big Data Hadoop Administrator Training provides an in-depth understanding of Hadoop framework, HDFS, and Hadoop cluster including Sqoop, Flume, Pig, Hive, and Impala. You will learn about cluster management solutions, core Hadoop distribution, and Cloudera Manager. Who needs to attend? Big Data Hadoop Administrator Training is best suited for: Systems administrators and IT managers IT administrators and operators IT Systems Engineer Data Engineer and database administrators Data Analytics Administrator Cloud Systems Administrator Web Engineer What learning outcomes can be expected? After completing this Big Data Hadoop Administrator Training, you will be able to: Understand the fundamentals of Big Data and its characteristics, various scalability options to help organizations manage Big Data. Master the concepts of the Hadoop framework; its architecture, working of Hadoop distributed file system and deployment of Hadoop cluster using core or vendor-specific distributions. Learn about cluster management solutions such as Cloudera manager and its capabilities for setup, deploying, maintenance & monitoring of Hadoop Clusters. Learn Hadoop Administration activities Learn about computational frameworks for processing Big Data Learn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster Learn about Cluster planning and tools for data ingestion into Hadoop clusters Learn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and Kafka Understand security implementation to secure data and clusters. Learn about Hadoop cluster monitoring activities Big Data Hadoop Administrator Training Course Agenda Lesson 1: Big Data & Hadoop Introduction Big Data Hadoop Administrator Training course you will learn about Big Data characteristics need for a framework such as Hadoop & its ecosystem. You will also be introduced to important daemons that support functioning of a Hadoop cluster. Topics covered are: Data & Existing Solutions Welcome to the world of Big DataWhat, Why & Where Case studies Hadoop & its Ecosystem Hadoop Core components Hadoop & its capabilities Lesson 2: HDFS Hadoop Distributed File System & Hadoops Distributions In this lesson, you will learn about Hadoop Distributed file System, its architecture, working & internals, Hadoop different distributions and about their similarities & differences. Topics covered are: Gain knowledge on HDFS its internals, working & features Learn about possibilities without HDFS Differentiate or find similarities in different distributions of Hadoop. Identify the requirements to set up a Hadoop cluster Lesson 3: Hadoop Cluster Setup & Working with Hadoop Cluster In this lesson, you will learn about steps to setup Apache Hadoop (core distribution) & Cloudera Distribution of Hadoop (vendor specific), cluster management solutions and their benefits and nut & bolts of Cloudera Distribution of Hadoop. You will also learn how to verify your cluster. Topics covered are: The need for Cluster Management Solution Choice of Installation methodsAutomated/ Manual Linux machines setupVirtualization & Cloud Hadoop Cluster SetupApache Hadoop V2 & Cloudera Distribution of Hadoop (CDH) Cloudera manager features and capabilities Working with Hadoop cluster, HDFS & data Working with management console/ UI ( user interfaces) & Linux terminals Understand administration scenarios Lesson 4: Hadoop Configurations & Daemon Logs In this lesson, you will learn about configuration files, ports & properties that relate to the functioning of Hadoop cluster. You will also learn about Hadoop daemons logs and how they help in problem scenarios for diagnosing & gathering information. Topics covered are: List and describe the files that control Hadoop configuration Explain how to manage Hadoop configuration with Cloudera Manager Locate configuration files and make changes Explain how to deal with stale configurations Explain the properties of addresses and ports of RPC and HTTP servers run by Hadoop Daemons Locate log files generated on hosts Filter information in log files Explain how to get diagnostic information from log files Lesson 5: Hadoop Cluster Maintenance & Administration In this lesson, you will learn Hadoop cluster maintenance and administration activities. You will also learn the shortcomings of Hadoop v1 and how they are fulfilled by Hadoop v2 features. Topics covered are: Explain how to add and remove nodes in an ad-hoc way Explain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodes Explain how to balance a cluster List the steps for managing services including adding, deleting, starting, stopping and checking the status of services Explain the procedure to enable rack awareness List the steps to add, remove and move role instances and hosts Cite the challenges faced with the first version of Hadoop Explain the features in the second version that help overcome the challenges faced in the first version Lesson 6: Hadoop Computational Frameworks In this lesson, you will learn about different types of computational frameworks, MapReduce & YARN concepts & configurations and how YARN manages applications. Topics covered are: Describe the role of computational frameworks Explain MapReduce concepts Describe MRv2 on YARN Explain configuring and understanding of YARN Describe YARN applications Describe YARN memory and CPU settings Lesson 7: SchedulingManaging resources via Schedulers In this lesson, you will learn cluster scheduling concepts, managing resources in your YARN cluster by usage of schedulers & queue management to manage jobs/applications. Topics covered are: Describe the scheduling concepts Indentify the Schedulers Explain the ways to manage resources using Schedulers Describe FIFO, Fair Scheduler, and Capacity Scheduler Explain how to configure Schedulers Explain queue management Lesson 8: Hadoop Cluster Planning In this lesson you will learn about how to plan your Hadoop cluster, considerations for cluster sizing & workload patterns in Hadoop cluster, making choices pertaining to variables such as hardware, software & different cluster deployment options. Topics covered are: Planning Hadoop Cluster General Planning considerations Workload and cluster sizing Making ChoicesHardware, Software & Network Making ChoicesMaster/Slave considerations News from the worldExisting Setups Lesson 9: Hadoop Clients & HUE interface In this lesson you will learn about Hadoop clients, nodes that support Hadoop clients and web interface such as HUE which can be used to work with Hadoop cluster and its components. Topics covered are: Explain the concepts of Hadoop client, edge nodes, and gateway nodes Install and configure Hadoop clients Explain how Hue works Install and configure Hue Describe how authentication and authorization is managed in Hue Lesson 10: Data Ingestion in Hadoop Cluster In this lesson you will learn about data ingestion types & tools. You will learn more about tools such as Flume, Sqoop that can be used for data import/export. Topics covered are: Understand Data Ingestion & its types Knowing about various data ingestion tools & their capabilities Understanding how Flume works Understanding how sqoop works In this lesson you will learn about open-source components (also known as services in CDH) that work within Hadoop ecosystem such as Hive, Hbase, kafka & Spark. Topics covered are: List some of the services and open-source components that work within the Hadoop ecosystem List the advantages and key features of Hive Describe briefly about the components of Hive Explain how to configure Hive in different modes Explain the architecture of HBase and cite the advantages of using HBase Explain the working of Apache Kafka Describe the architecture of Apache Spark Lesson 12: Hadoop SecuritySecuring Hadoop Cluster In this lesson you will learn about security aspects and security implementation in a Hadoop cluster to secure data & cluster. Topics covered are: Describe the different ways to avoid risks and secure data Identify the different threat categories Describe the security aspects for different nodes Describe operating system security Describe Kerberos and how it works Describe Service Level Authorization In this lesson you will learn about basics of cluster monitoring, choosing right monitoring solutions, Hadoop metrics categories & types and Cloudera managers features and capabilities that can be used for monitoring your Hadoop cluster. Topics covered are: Describe cluster monitoring Describe the ways to choose the right monitoring solutions List the features and considerations of Cloudera manager for monitoring Describe the different categories of Hadoop Metrics List the different types of Hadoop Metrics List the steps to monitor a cluster by using Cloudera Manager Why Educera? Educeras training is the best and value for time & money invested. We stand out because our customers: Get trained at the best price compared to other training providers. Get trained by the best trainer in the industry. Get access to course specific learning videos. Get 100% Money back guarantee. Training Fee: Early Bird: Booking at least one month prior to the class start date Training Venue: Venue will be confirmed to the classroom participants one week prior to the workshop start date and online participants will get the session attendance link before 4- 5 days of the training start date. Training Courses:CAPM | PMP | LSSGB | ITIL | CSM | CEH | PMI-ACP | CCBA | CBAP | CEH Please contact us for more details

Key Features 32 hours of Classroom training 100% Money Back Guarantee* 20 hours of self-paced video Includes 4 real industry-based projects Prepares for Cloudera CCAH CCA-500 certification exam Includes 3 simulation exams aligned to CCA-500 certification exam About the Course Educera's Big Data Hadoop Administrator Training provides an in-depth understanding of Hadoop framework, HDFS, and Hadoop cluster including Sqoop, Flume, Pig, Hive, and Impala. You will learn about cluster management solutions, core Hadoop distribution, and Cloudera Manager. Who needs to attend? Big Data Hadoop Administrator Training is best suited for: Systems administrators and IT managers IT administrators and operators IT Systems Engineer Data Engineer and database administrators Data Analytics Administrator Cloud Systems Administrator Web Engineer What learning outcomes can be expected? After completing this Big Data Hadoop Administrator Training, you will be able to: Understand the fundamentals of Big Data and its characteristics, various scalability options to help organizations manage Big Data. Master the concepts of the Hadoop framework; its architecture, working of Hadoop distributed file system and deployment of Hadoop cluster using core or vendor-specific distributions. Learn about cluster management solutions such as Cloudera manager and its capabilities for setup, deploying, maintenance & monitoring of Hadoop Clusters. Learn Hadoop Administration activities Learn about computational frameworks for processing Big Data Learn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster Learn about Cluster planning and tools for data ingestion into Hadoop clusters Learn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and Kafka Understand security implementation to secure data and clusters. Learn about Hadoop cluster monitoring activities Big Data Hadoop Administrator Training Course Agenda Lesson 1: Big Data & Hadoop Introduction Big Data Hadoop Administrator Training course you will learn about Big Data characteristics need for a framework such as Hadoop & its ecosystem. You will also be introduced to important daemons that support functioning of a Hadoop cluster. Topics covered are: Data & Existing Solutions Welcome to the world of Big DataWhat, Why & Where Case studies Hadoop & its Ecosystem Hadoop Core components Hadoop & its capabilities Lesson 2: HDFS Hadoop Distributed File System & Hadoops Distributions In this lesson, you will learn about Hadoop Distributed file System, its architecture, working & internals, Hadoop different distributions and about their similarities & differences. Topics covered are: Gain knowledge on HDFS its internals, working & features Learn about possibilities without HDFS Differentiate or find similarities in different distributions of Hadoop. Identify the requirements to set up a Hadoop cluster Lesson 3: Hadoop Cluster Setup & Working with Hadoop Cluster In this lesson, you will learn about steps to setup Apache Hadoop (core distribution) & Cloudera Distribution of Hadoop (vendor specific), cluster management solutions and their benefits and nut & bolts of Cloudera Distribution of Hadoop. You will also learn how to verify your cluster. Topics covered are: The need for Cluster Management Solution Choice of Installation methodsAutomated/ Manual Linux machines setupVirtualization & Cloud Hadoop Cluster SetupApache Hadoop V2 & Cloudera Distribution of Hadoop (CDH) Cloudera manager features and capabilities Working with Hadoop cluster, HDFS & data Working with management console/ UI ( user interfaces) & Linux terminals Understand administration scenarios Lesson 4: Hadoop Configurations & Daemon Logs In this lesson, you will learn about configuration files, ports & properties that relate to the functioning of Hadoop cluster. You will also learn about Hadoop daemons logs and how they help in problem scenarios for diagnosing & gathering information. Topics covered are: List and describe the files that control Hadoop configuration Explain how to manage Hadoop configuration with Cloudera Manager Locate configuration files and make changes Explain how to deal with stale configurations Explain the properties of addresses and ports of RPC and HTTP servers run by Hadoop Daemons Locate log files generated on hosts Filter information in log files Explain how to get diagnostic information from log files Lesson 5: Hadoop Cluster Maintenance & Administration In this lesson, you will learn Hadoop cluster maintenance and administration activities. You will also learn the shortcomings of Hadoop v1 and how they are fulfilled by Hadoop v2 features. Topics covered are: Explain how to add and remove nodes in an ad-hoc way Explain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodes Explain how to balance a cluster List the steps for managing services including adding, deleting, starting, stopping and checking the status of services Explain the procedure to enable rack awareness List the steps to add, remove and move role instances and hosts Cite the challenges faced with the first version of Hadoop Explain the features in the second version that help overcome the challenges faced in the first version Lesson 6: Hadoop Computational Frameworks In this lesson, you will learn about different types of computational frameworks, MapReduce & YARN concepts & configurations and how YARN manages applications. Topics covered are: Describe the role of computational frameworks Explain MapReduce concepts Describe MRv2 on YARN Explain configuring and understanding of YARN Describe YARN applications Describe YARN memory and CPU settings Lesson 7: SchedulingManaging resources via Schedulers In this lesson, you will learn cluster scheduling concepts, managing resources in your YARN cluster by usage of schedulers & queue management to manage jobs/applications. Topics covered are: Describe the scheduling concepts Indentify the Schedulers Explain the ways to manage resources using Schedulers Describe FIFO, Fair Scheduler, and Capacity Scheduler Explain how to configure Schedulers Explain queue management Lesson 8: Hadoop Cluster Planning In this lesson you will learn about how to plan your Hadoop cluster, considerations for cluster sizing & workload patterns in Hadoop cluster, making choices pertaining to variables such as hardware, software & different cluster deployment options. Topics covered are: Planning Hadoop Cluster General Planning considerations Workload and cluster sizing Making ChoicesHardware, Software & Network Making ChoicesMaster/Slave considerations News from the worldExisting Setups Lesson 9: Hadoop Clients & HUE interface In this lesson you will learn about Hadoop clients, nodes that support Hadoop clients and web interface such as HUE which can be used to work with Hadoop cluster and its components. Topics covered are: Explain the concepts of Hadoop client, edge nodes, and gateway nodes Install and configure Hadoop clients Explain how Hue works Install and configure Hue Describe how authentication and authorization is managed in Hue Lesson 10: Data Ingestion in Hadoop Cluster In this lesson you will learn about data ingestion types & tools. You will learn more about tools such as Flume, Sqoop that can be used for data import/export. Topics covered are: Understand Data Ingestion & its types Knowing about various data ingestion tools & their capabilities Understanding how Flume works Understanding how sqoop works In this lesson you will learn about open-source components (also known as services in CDH) that work within Hadoop ecosystem such as Hive, Hbase, kafka & Spark. Topics covered are: List some of the services and open-source components that work within the Hadoop ecosystem List the advantages and key features of Hive Describe briefly about the components of Hive Explain how to configure Hive in different modes Explain the architecture of HBase and cite the advantages of using HBase Explain the working of Apache Kafka Describe the architecture of Apache Spark Lesson 12: Hadoop SecuritySecuring Hadoop Cluster In this lesson you will learn about security aspects and security implementation in a Hadoop cluster to secure data & cluster. Topics covered are: Describe the different ways to avoid risks and secure data Identify the different threat categories Describe the security aspects for different nodes Describe operating system security Describe Kerberos and how it works Describe Service Level Authorization In this lesson you will learn about basics of cluster monitoring, choosing right monitoring solutions, Hadoop metrics categories & types and Cloudera managers features and capabilities that can be used for monitoring your Hadoop cluster. Topics covered are: Describe cluster monitoring Describe the ways to choose the right monitoring solutions List the features and considerations of Cloudera manager for monitoring Describe the different categories of Hadoop Metrics List the different types of Hadoop Metrics List the steps to monitor a cluster by using Cloudera Manager Why Educera? Educeras training is the best and value for time & money invested. We stand out because our customers: Get trained at the best price compared to other training providers. Get trained by the best trainer in the industry. Get access to course specific learning videos. Get 100% Money back guarantee. Training Fee: Early Bird: Booking at least one month prior to the class start date Training Venue: Venue will be confirmed to the classroom participants one week prior to the workshop start date and online participants will get the session attendance link before 4- 5 days of the training start date. Training Courses:CAPM | PMP | LSSGB | ITIL | CSM | CEH | PMI-ACP | CCBA | CBAP | CEH Please contact us for more details

Key Features 32 hours of Classroom training 100% Money Back Guarantee* 20 hours of self-paced video Includes 4 real industry-based projects Prepares for Cloudera CCAH CCA-500 certification exam Includes 3 simulation exams aligned to CCA-500 certification exam About the Course Educera's Big Data Hadoop Administrator Training provides an in-depth understanding of Hadoop framework, HDFS, and Hadoop cluster including Sqoop, Flume, Pig, Hive, and Impala. You will learn about cluster management solutions, core Hadoop distribution, and Cloudera Manager. Who needs to attend? Big Data Hadoop Administrator Training is best suited for: Systems administrators and IT managers IT administrators and operators IT Systems Engineer Data Engineer and database administrators Data Analytics Administrator Cloud Systems Administrator Web Engineer What learning outcomes can be expected? After completing this Big Data Hadoop Administrator Training, you will be able to: Understand the fundamentals of Big Data and its characteristics, various scalability options to help organizations manage Big Data. Master the concepts of the Hadoop framework; its architecture, working of Hadoop distributed file system and deployment of Hadoop cluster using core or vendor-specific distributions. Learn about cluster management solutions such as Cloudera manager and its capabilities for setup, deploying, maintenance & monitoring of Hadoop Clusters. Learn Hadoop Administration activities Learn about computational frameworks for processing Big Data Learn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster Learn about Cluster planning and tools for data ingestion into Hadoop clusters Learn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and Kafka Understand security implementation to secure data and clusters. Learn about Hadoop cluster monitoring activities Big Data Hadoop Administrator Training Course Agenda Lesson 1: Big Data & Hadoop Introduction Big Data Hadoop Administrator Training course you will learn about Big Data characteristics need for a framework such as Hadoop & its ecosystem. You will also be introduced to important daemons that support functioning of a Hadoop cluster. Topics covered are: Data & Existing Solutions Welcome to the world of Big DataWhat, Why & Where Case studies Hadoop & its Ecosystem Hadoop Core components Hadoop & its capabilities Lesson 2: HDFS Hadoop Distributed File System & Hadoops Distributions In this lesson, you will learn about Hadoop Distributed file System, its architecture, working & internals, Hadoop different distributions and about their similarities & differences. Topics covered are: Gain knowledge on HDFS its internals, working & features Learn about possibilities without HDFS Differentiate or find similarities in different distributions of Hadoop. Identify the requirements to set up a Hadoop cluster Lesson 3: Hadoop Cluster Setup & Working with Hadoop Cluster In this lesson, you will learn about steps to setup Apache Hadoop (core distribution) & Cloudera Distribution of Hadoop (vendor specific), cluster management solutions and their benefits and nut & bolts of Cloudera Distribution of Hadoop. You will also learn how to verify your cluster. Topics covered are: The need for Cluster Management Solution Choice of Installation methodsAutomated/ Manual Linux machines setupVirtualization & Cloud Hadoop Cluster SetupApache Hadoop V2 & Cloudera Distribution of Hadoop (CDH) Cloudera manager features and capabilities Working with Hadoop cluster, HDFS & data Working with management console/ UI ( user interfaces) & Linux terminals Understand administration scenarios Lesson 4: Hadoop Configurations & Daemon Logs In this lesson, you will learn about configuration files, ports & properties that relate to the functioning of Hadoop cluster. You will also learn about Hadoop daemons logs and how they help in problem scenarios for diagnosing & gathering information. Topics covered are: List and describe the files that control Hadoop configuration Explain how to manage Hadoop configuration with Cloudera Manager Locate configuration files and make changes Explain how to deal with stale configurations Explain the properties of addresses and ports of RPC and HTTP servers run by Hadoop Daemons Locate log files generated on hosts Filter information in log files Explain how to get diagnostic information from log files Lesson 5: Hadoop Cluster Maintenance & Administration In this lesson, you will learn Hadoop cluster maintenance and administration activities. You will also learn the shortcomings of Hadoop v1 and how they are fulfilled by Hadoop v2 features. Topics covered are: Explain how to add and remove nodes in an ad-hoc way Explain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodes Explain how to balance a cluster List the steps for managing services including adding, deleting, starting, stopping and checking the status of services Explain the procedure to enable rack awareness List the steps to add, remove and move role instances and hosts Cite the challenges faced with the first version of Hadoop Explain the features in the second version that help overcome the challenges faced in the first version Lesson 6: Hadoop Computational Frameworks In this lesson, you will learn about different types of computational frameworks, MapReduce & YARN concepts & configurations and how YARN manages applications. Topics covered are: Describe the role of computational frameworks Explain MapReduce concepts Describe MRv2 on YARN Explain configuring and understanding of YARN Describe YARN applications Describe YARN memory and CPU settings Lesson 7: SchedulingManaging resources via Schedulers In this lesson, you will learn cluster scheduling concepts, managing resources in your YARN cluster by usage of schedulers & queue management to manage jobs/applications. Topics covered are: Describe the scheduling concepts Indentify the Schedulers Explain the ways to manage resources using Schedulers Describe FIFO, Fair Scheduler, and Capacity Scheduler Explain how to configure Schedulers Explain queue management Lesson 8: Hadoop Cluster Planning In this lesson you will learn about how to plan your Hadoop cluster, considerations for cluster sizing & workload patterns in Hadoop cluster, making choices pertaining to variables such as hardware, software & different cluster deployment options. Topics covered are: Planning Hadoop Cluster General Planning considerations Workload and cluster sizing Making ChoicesHardware, Software & Network Making ChoicesMaster/Slave considerations News from the worldExisting Setups Lesson 9: Hadoop Clients & HUE interface In this lesson you will learn about Hadoop clients, nodes that support Hadoop clients and web interface such as HUE which can be used to work with Hadoop cluster and its components. Topics covered are: Explain the concepts of Hadoop client, edge nodes, and gateway nodes Install and configure Hadoop clients Explain how Hue works Install and configure Hue Describe how authentication and authorization is managed in Hue Lesson 10: Data Ingestion in Hadoop Cluster In this lesson you will learn about data ingestion types & tools. You will learn more about tools such as Flume, Sqoop that can be used for data import/export. Topics covered are: Understand Data Ingestion & its types Knowing about various data ingestion tools & their capabilities Understanding how Flume works Understanding how sqoop works In this lesson you will learn about open-source components (also known as services in CDH) that work within Hadoop ecosystem such as Hive, Hbase, kafka & Spark. Topics covered are: List some of the services and open-source components that work within the Hadoop ecosystem List the advantages and key features of Hive Describe briefly about the components of Hive Explain how to configure Hive in different modes Explain the architecture of HBase and cite the advantages of using HBase Explain the working of Apache Kafka Describe the architecture of Apache Spark Lesson 12: Hadoop SecuritySecuring Hadoop Cluster In this lesson you will learn about security aspects and security implementation in a Hadoop cluster to secure data & cluster. Topics covered are: Describe the different ways to avoid risks and secure data Identify the different threat categories Describe the security aspects for different nodes Describe operating system security Describe Kerberos and how it works Describe Service Level Authorization In this lesson you will learn about basics of cluster monitoring, choosing right monitoring solutions, Hadoop metrics categories & types and Cloudera managers features and capabilities that can be used for monitoring your Hadoop cluster. Topics covered are: Describe cluster monitoring Describe the ways to choose the right monitoring solutions List the features and considerations of Cloudera manager for monitoring Describe the different categories of Hadoop Metrics List the different types of Hadoop Metrics List the steps to monitor a cluster by using Cloudera Manager Why Educera? Educeras training is the best and value for time & money invested. We stand out because our customers: Get trained at the best price compared to other training providers. Get trained by the best trainer in the industry. Get access to course specific learning videos. Get 100% Money back guarantee. Training Fee: Early Bird: Booking at least one month prior to the class start date Training Venue: Venue will be confirmed to the classroom participants one week prior to the workshop start date and online participants will get the session attendance link before 4- 5 days of the training start date. Training Courses:CAPM | PMP | LSSGB | ITIL | CSM | CEH | PMI-ACP | CCBA | CBAP | CEH Please contact us for more details

Key Features 32 hours of Classroom training 100% Money Back Guarantee* 20 hours of self-paced video Includes 4 real industry-based projects Prepares for Cloudera CCAH CCA-500 certification exam Includes 3 simulation exams aligned to CCA-500 certification exam About the Course Educera's Big Data Hadoop Administrator Training provides an in-depth understanding of Hadoop framework, HDFS, and Hadoop cluster including Sqoop, Flume, Pig, Hive, and Impala. You will learn about cluster management solutions, core Hadoop distribution, and Cloudera Manager. Who needs to attend? Big Data Hadoop Administrator Training is best suited for: Systems administrators and IT managers IT administrators and operators IT Systems Engineer Data Engineer and database administrators Data Analytics Administrator Cloud Systems Administrator Web Engineer What learning outcomes can be expected? After completing this Big Data Hadoop Administrator Training, you will be able to: Understand the fundamentals of Big Data and its characteristics, various scalability options to help organizations manage Big Data. Master the concepts of the Hadoop framework; its architecture, working of Hadoop distributed file system and deployment of Hadoop cluster using core or vendor-specific distributions. Learn about cluster management solutions such as Cloudera manager and its capabilities for setup, deploying, maintenance & monitoring of Hadoop Clusters. Learn Hadoop Administration activities Learn about computational frameworks for processing Big Data Learn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster Learn about Cluster planning and tools for data ingestion into Hadoop clusters Learn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and Kafka Understand security implementation to secure data and clusters. Learn about Hadoop cluster monitoring activities Big Data Hadoop Administrator Training Course Agenda Lesson 1: Big Data & Hadoop Introduction Big Data Hadoop Administrator Training course you will learn about Big Data characteristics need for a framework such as Hadoop & its ecosystem. You will also be introduced to important daemons that support functioning of a Hadoop cluster. Topics covered are: Data & Existing Solutions Welcome to the world of Big DataWhat, Why & Where Case studies Hadoop & its Ecosystem Hadoop Core components Hadoop & its capabilities Lesson 2: HDFS Hadoop Distributed File System & Hadoops Distributions In this lesson, you will learn about Hadoop Distributed file System, its architecture, working & internals, Hadoop different distributions and about their similarities & differences. Topics covered are: Gain knowledge on HDFS its internals, working & features Learn about possibilities without HDFS Differentiate or find similarities in different distributions of Hadoop. Identify the requirements to set up a Hadoop cluster Lesson 3: Hadoop Cluster Setup & Working with Hadoop Cluster In this lesson, you will learn about steps to setup Apache Hadoop (core distribution) & Cloudera Distribution of Hadoop (vendor specific), cluster management solutions and their benefits and nut & bolts of Cloudera Distribution of Hadoop. You will also learn how to verify your cluster. Topics covered are: The need for Cluster Management Solution Choice of Installation methodsAutomated/ Manual Linux machines setupVirtualization & Cloud Hadoop Cluster SetupApache Hadoop V2 & Cloudera Distribution of Hadoop (CDH) Cloudera manager features and capabilities Working with Hadoop cluster, HDFS & data Working with management console/ UI ( user interfaces) & Linux terminals Understand administration scenarios Lesson 4: Hadoop Configurations & Daemon Logs In this lesson, you will learn about configuration files, ports & properties that relate to the functioning of Hadoop cluster. You will also learn about Hadoop daemons logs and how they help in problem scenarios for diagnosing & gathering information. Topics covered are: List and describe the files that control Hadoop configuration Explain how to manage Hadoop configuration with Cloudera Manager Locate configuration files and make changes Explain how to deal with stale configurations Explain the properties of addresses and ports of RPC and HTTP servers run by Hadoop Daemons Locate log files generated on hosts Filter information in log files Explain how to get diagnostic information from log files Lesson 5: Hadoop Cluster Maintenance & Administration In this lesson, you will learn Hadoop cluster maintenance and administration activities. You will also learn the shortcomings of Hadoop v1 and how they are fulfilled by Hadoop v2 features. Topics covered are: Explain how to add and remove nodes in an ad-hoc way Explain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodes Explain how to balance a cluster List the steps for managing services including adding, deleting, starting, stopping and checking the status of services Explain the procedure to enable rack awareness List the steps to add, remove and move role instances and hosts Cite the challenges faced with the first version of Hadoop Explain the features in the second version that help overcome the challenges faced in the first version Lesson 6: Hadoop Computational Frameworks In this lesson, you will learn about different types of computational frameworks, MapReduce & YARN concepts & configurations and how YARN manages applications. Topics covered are: Describe the role of computational frameworks Explain MapReduce concepts Describe MRv2 on YARN Explain configuring and understanding of YARN Describe YARN applications Describe YARN memory and CPU settings Lesson 7: SchedulingManaging resources via Schedulers In this lesson, you will learn cluster scheduling concepts, managing resources in your YARN cluster by usage of schedulers & queue management to manage jobs/applications. Topics covered are: Describe the scheduling concepts Indentify the Schedulers Explain the ways to manage resources using Schedulers Describe FIFO, Fair Scheduler, and Capacity Scheduler Explain how to configure Schedulers Explain queue management Lesson 8: Hadoop Cluster Planning In this lesson you will learn about how to plan your Hadoop cluster, considerations for cluster sizing & workload patterns in Hadoop cluster, making choices pertaining to variables such as hardware, software & different cluster deployment options. Topics covered are: Planning Hadoop Cluster General Planning considerations Workload and cluster sizing Making ChoicesHardware, Software & Network Making ChoicesMaster/Slave considerations News from the worldExisting Setups Lesson 9: Hadoop Clients & HUE interface In this lesson you will learn about Hadoop clients, nodes that support Hadoop clients and web interface such as HUE which can be used to work with Hadoop cluster and its components. Topics covered are: Explain the concepts of Hadoop client, edge nodes, and gateway nodes Install and configure Hadoop clients Explain how Hue works Install and configure Hue Describe how authentication and authorization is managed in Hue Lesson 10: Data Ingestion in Hadoop Cluster In this lesson you will learn about data ingestion types & tools. You will learn more about tools such as Flume, Sqoop that can be used for data import/export. Topics covered are: Understand Data Ingestion & its types Knowing about various data ingestion tools & their capabilities Understanding how Flume works Understanding how sqoop works In this lesson you will learn about open-source components (also known as services in CDH) that work within Hadoop ecosystem such as Hive, Hbase, kafka & Spark. Topics covered are: List some of the services and open-source components that work within the Hadoop ecosystem List the advantages and key features of Hive Describe briefly about the components of Hive Explain how to configure Hive in different modes Explain the architecture of HBase and cite the advantages of using HBase Explain the working of Apache Kafka Describe the architecture of Apache Spark Lesson 12: Hadoop SecuritySecuring Hadoop Cluster In this lesson you will learn about security aspects and security implementation in a Hadoop cluster to secure data & cluster. Topics covered are: Describe the different ways to avoid risks and secure data Identify the different threat categories Describe the security aspects for different nodes Describe operating system security Describe Kerberos and how it works Describe Service Level Authorization In this lesson you will learn about basics of cluster monitoring, choosing right monitoring solutions, Hadoop metrics categories & types and Cloudera managers features and capabilities that can be used for monitoring your Hadoop cluster. Topics covered are: Describe cluster monitoring Describe the ways to choose the right monitoring solutions List the features and considerations of Cloudera manager for monitoring Describe the different categories of Hadoop Metrics List the different types of Hadoop Metrics List the steps to monitor a cluster by using Cloudera Manager Why Educera? Educeras training is the best and value for time & money invested. We stand out because our customers: Get trained at the best price compared to other training providers. Get trained by the best trainer in the industry. Get access to course specific learning videos. Get 100% Money back guarantee. Training Fee: Early Bird: Booking at least one month prior to the class start date Training Venue: Venue will be confirmed to the classroom participants one week prior to the workshop start date and online participants will get the session attendance link before 4- 5 days of the training start date. Training Courses:CAPM | PMP | LSSGB | ITIL | CSM | CEH | PMI-ACP | CCBA | CBAP | CEH Please contact us for more details

Key Features 32 hours of Classroom training 100% Money Back Guarantee* 20 hours of self-paced video Includes 4 real industry-based projects Prepares for Cloudera CCAH CCA-500 certification exam Includes 3 simulation exams aligned to CCA-500 certification exam About the Course Educera's Big Data Hadoop Administrator Training provides an in-depth understanding of Hadoop framework, HDFS, and Hadoop cluster including Sqoop, Flume, Pig, Hive, and Impala. You will learn about cluster management solutions, core Hadoop distribution, and Cloudera Manager. Who needs to attend? Big Data Hadoop Administrator Training is best suited for: Systems administrators and IT managers IT administrators and operators IT Systems Engineer Data Engineer and database administrators Data Analytics Administrator Cloud Systems Administrator Web Engineer What learning outcomes can be expected? After completing this Big Data Hadoop Administrator Training, you will be able to: Understand the fundamentals of Big Data and its characteristics, various scalability options to help organizations manage Big Data. Master the concepts of the Hadoop framework; its architecture, working of Hadoop distributed file system and deployment of Hadoop cluster using core or vendor-specific distributions. Learn about cluster management solutions such as Cloudera manager and its capabilities for setup, deploying, maintenance & monitoring of Hadoop Clusters. Learn Hadoop Administration activities Learn about computational frameworks for processing Big Data Learn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster Learn about Cluster planning and tools for data ingestion into Hadoop clusters Learn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and Kafka Understand security implementation to secure data and clusters. Learn about Hadoop cluster monitoring activities Big Data Hadoop Administrator Training Course Agenda Lesson 1: Big Data & Hadoop Introduction Big Data Hadoop Administrator Training course you will learn about Big Data characteristics need for a framework such as Hadoop & its ecosystem. You will also be introduced to important daemons that support functioning of a Hadoop cluster. Topics covered are: Data & Existing Solutions Welcome to the world of Big DataWhat, Why & Where Case studies Hadoop & its Ecosystem Hadoop Core components Hadoop & its capabilities Lesson 2: HDFS Hadoop Distributed File System & Hadoops Distributions In this lesson, you will learn about Hadoop Distributed file System, its architecture, working & internals, Hadoop different distributions and about their similarities & differences. Topics covered are: Gain knowledge on HDFS its internals, working & features Learn about possibilities without HDFS Differentiate or find similarities in different distributions of Hadoop. Identify the requirements to set up a Hadoop cluster Lesson 3: Hadoop Cluster Setup & Working with Hadoop Cluster In this lesson, you will learn about steps to setup Apache Hadoop (core distribution) & Cloudera Distribution of Hadoop (vendor specific), cluster management solutions and their benefits and nut & bolts of Cloudera Distribution of Hadoop. You will also learn how to verify your cluster. Topics covered are: The need for Cluster Management Solution Choice of Installation methodsAutomated/ Manual Linux machines setupVirtualization & Cloud Hadoop Cluster SetupApache Hadoop V2 & Cloudera Distribution of Hadoop (CDH) Cloudera manager features and capabilities Working with Hadoop cluster, HDFS & data Working with management console/ UI ( user interfaces) & Linux terminals Understand administration scenarios Lesson 4: Hadoop Configurations & Daemon Logs In this lesson, you will learn about configuration files, ports & properties that relate to the functioning of Hadoop cluster. You will also learn about Hadoop daemons logs and how they help in problem scenarios for diagnosing & gathering information. Topics covered are: List and describe the files that control Hadoop configuration Explain how to manage Hadoop configuration with Cloudera Manager Locate configuration files and make changes Explain how to deal with stale configurations Explain the properties of addresses and ports of RPC and HTTP servers run by Hadoop Daemons Locate log files generated on hosts Filter information in log files Explain how to get diagnostic information from log files Lesson 5: Hadoop Cluster Maintenance & Administration In this lesson, you will learn Hadoop cluster maintenance and administration activities. You will also learn the shortcomings of Hadoop v1 and how they are fulfilled by Hadoop v2 features. Topics covered are: Explain how to add and remove nodes in an ad-hoc way Explain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodes Explain how to balance a cluster List the steps for managing services including adding, deleting, starting, stopping and checking the status of services Explain the procedure to enable rack awareness List the steps to add, remove and move role instances and hosts Cite the challenges faced with the first version of Hadoop Explain the features in the second version that help overcome the challenges faced in the first version Lesson 6: Hadoop Computational Frameworks In this lesson, you will learn about different types of computational frameworks, MapReduce & YARN concepts & configurations and how YARN manages applications. Topics covered are: Describe the role of computational frameworks Explain MapReduce concepts Describe MRv2 on YARN Explain configuring and understanding of YARN Describe YARN applications Describe YARN memory and CPU settings Lesson 7: SchedulingManaging resources via Schedulers In this lesson, you will learn cluster scheduling concepts, managing resources in your YARN cluster by usage of schedulers & queue management to manage jobs/applications. Topics covered are: Describe the scheduling concepts Indentify the Schedulers Explain the ways to manage resources using Schedulers Describe FIFO, Fair Scheduler, and Capacity Scheduler Explain how to configure Schedulers Explain queue management Lesson 8: Hadoop Cluster Planning In this lesson you will learn about how to plan your Hadoop cluster, considerations for cluster sizing & workload patterns in Hadoop cluster, making choices pertaining to variables such as hardware, software & different cluster deployment options. Topics covered are: Planning Hadoop Cluster General Planning considerations Workload and cluster sizing Making ChoicesHardware, Software & Network Making ChoicesMaster/Slave considerations News from the worldExisting Setups Lesson 9: Hadoop Clients & HUE interface In this lesson you will learn about Hadoop clients, nodes that support Hadoop clients and web interface such as HUE which can be used to work with Hadoop cluster and its components. Topics covered are: Explain the concepts of Hadoop client, edge nodes, and gateway nodes Install and configure Hadoop clients Explain how Hue works Install and configure Hue Describe how authentication and authorization is managed in Hue Lesson 10: Data Ingestion in Hadoop Cluster In this lesson you will learn about data ingestion types & tools. You will learn more about tools such as Flume, Sqoop that can be used for data import/export. Topics covered are: Understand Data Ingestion & its types Knowing about various data ingestion tools & their capabilities Understanding how Flume works Understanding how sqoop works In this lesson you will learn about open-source components (also known as services in CDH) that work within Hadoop ecosystem such as Hive, Hbase, kafka & Spark. Topics covered are: List some of the services and open-source components that work within the Hadoop ecosystem List the advantages and key features of Hive Describe briefly about the components of Hive Explain how to configure Hive in different modes Explain the architecture of HBase and cite the advantages of using HBase Explain the working of Apache Kafka Describe the architecture of Apache Spark Lesson 12: Hadoop SecuritySecuring Hadoop Cluster In this lesson you will learn about security aspects and security implementation in a Hadoop cluster to secure data & cluster. Topics covered are: Describe the different ways to avoid risks and secure data Identify the different threat categories Describe the security aspects for different nodes Describe operating system security Describe Kerberos and how it works Describe Service Level Authorization In this lesson you will learn about basics of cluster monitoring, choosing right monitoring solutions, Hadoop metrics categories & types and Cloudera managers features and capabilities that can be used for monitoring your Hadoop cluster. Topics covered are: Describe cluster monitoring Describe the ways to choose the right monitoring solutions List the features and considerations of Cloudera manager for monitoring Describe the different categories of Hadoop Metrics List the different types of Hadoop Metrics List the steps to monitor a cluster by using Cloudera Manager Why Educera? Educeras training is the best and value for time & money invested. We stand out because our customers: Get trained at the best price compared to other training providers. Get trained by the best trainer in the industry. Get access to course specific learning videos. Get 100% Money back guarantee. Training Fee: Early Bird: Booking at least one month prior to the class start date Training Venue: Venue will be confirmed to the classroom participants one week prior to the workshop start date and online participants will get the session attendance link before 4- 5 days of the training start date. Training Courses:CAPM | PMP | LSSGB | ITIL | CSM | CEH | PMI-ACP | CCBA | CBAP | CEH Please contact us for more details

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