44 job fairs found

Northern Colorado and Southern Wyoming employers ARE HIRING. Join us for the WY-CO Regional Job Fair. Meet local businesses looking for talent.Free event. No registration required, ordering tickets here will provide event reminders. 3:30-4:00 pm-veterans only 4:00 pm-6:00 pm-general public Visitlarimer.org/job-fair-2019for more information.

ATTN: Job Seekers!  100s of Jobs are up for grabs at the  Denver  Job Fair on May 15th! Meet one-on-one with recruiters & hiring managers who are now hiring for IMMEDIATE OPENINGS! Available positions range from entry level to management, in multiple industries. Get in before these positions fill up! When you attend a JobNewsUSA.com Job Fair you will have the opportunity to: • Build your professional network. • Learn about upcoming job opportunities that haven’t been advertised yet. • Possibly walk away with a job! Some employers offer on-the-spot interviews and job offers. Pre-register now to attend!  We’ll send you a reminder email one day prior to the hiring event. Tips for Job Fair Success: • Prepare your elevator speech • Dress professionally, as if attending a job interview • Display an engaging & motivated attitude to make a positive impression • Bring several copies of your updated resume or work history to the event Parking and Admission are FREE! Interested in Recruiting? Looking for qualified candidates to fill your positions? JobNewsUSA.com Job Fairs are the perfect place to meet hundreds of potential candidates, network with employers, and increase your company's exposure. For more information, call (720) 282-2011.

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 Day You 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 Peak times: The following hours tend to be the most requested time periods to teach from our families:- Monday-Sunday 6-10am EST- Saturday-Sunday 9pm-10am EST Interested in working from the comfort of your home?Work as much or as little as you like, no minimums or maximums. Want to make $18-$22/hr ASAP. Register for your Coaching Class TODAY! Reserve your tickets today through Eventbrite and you will receive an email from us within 24 hours to complete your application.

Future pilots of all ages including career changers, students in all grades,separating military personnel, spouses, parents, school counselors and teachers are invited to FAPA Future Pilot Forum inDenver on Saturday, July 13, from 1 PM - 5 PM. The event Venue is TBD. The forums offer future professional pilots a FREE educational day about pathways to professional pilot careers. The event will include a complimentary showing of the inspirational National Geographic documentary Living in the Age of Airplanes. Air Wisconsin has partnered with FAPA as Platinum Partner for every FAPA Pilot Job Fair & Future Pilot Forum once per month around the country, in a committed effort to 'Building the Pilot Pipeline' . All attendees (parents, spouses, siblings, etc.) should pre-register to attend in person or to view portions of the event via on-demand video later for free atFAPA.aero/FuturePilot >Sign up for updates about Future Pilot Forums:FAPA.aero/FuturePilot/Subscribe>To download fliers, web newsletter graphics, and Facebook post to share:FAPA.aero/Event-Graphics>To view recent press about our events:FAPA.aero/Press>To read testimonials from past attendees:FAPA.aero/Testimonials *This event is foraspiring pilots of all ages with 250 hours or less of flight time. If you have more than 250 hours and are a qualified, job-seeking pilot, please register for free to attend the FAPA Pilot Job Fair atFAPA.aero/Jobs.

Calling all IT, Cyber Security, and Project Management Professionals! *Free Job Fair* LeaderQuest Colorado Springs is hosting an IT Job Fair on Sunday, July 7th, 2019 at the Mt. Carmel Veterans Service Center. Weve invited employers from around the region to come meet and speak with job seekers at the Mt. Carmel Veterans Service Center. Hiring managers will be filling open positions, so If you're looking to kick your career into high gear, dress professionally, bring several copies of your current resume, and get ready to connect. RSVP today! This event is especially suited for: New & seasoned IT, cybersecurity, and project management, professionals LeaderQuest Colorado Springs Students/Alumni Veterans and their spouses Employers looking for qualified IT and cybersecurity candidates LeaderQuest is hosting this event, and we'd love to talk to you about how IT certification can open doors to new and exciting careers in industries that are starved for qualified employees. Mark your calendars and get ready, many of our employer partners are looking to hire now! Meet Employer's such as: *Participating employers will be announced at a later date. About LeaderQuest LeaderQuest offers a variety of training programs in person and online to help students get IT and cybersecurity certifications. Programs take 4-6 weeks and are taught by expert instructors who have experience in the field. After getting certified, we assist you with your job search. Want to get certified? Contact us today.

AMA knows you value career opportunities! This is why we are bringing you the first, and only, job fair in Colorado focused specifically on marketing roles. This is your chance to connect face to face with recruiters and hiring managers at some of the best marketing focused organizations in the state and abroad. Bring copies of your resume, portfolio or anything else you would like to share with recruiters and hiring managers. Dress to impress and take advantage of an amazingdeal on a headshot from Sonderful Design, AMA Colorados professional photographer. Headshots are additionalto general admission tickets which are limited. *Register for a headshot time slot on a first come first serve basis at the event. Please arrive 5 minutes early to ensure we are able to stay on schedule. *Lite refreshments will be provided during the event. Learn more about SonderfulDesign and see theirportfolio here.

Event Happens on First Friday of the Month.. To participate: Job Seekersmust complete profile onhttps://tao.ai/p/fff/_/cos Recruitersmust complete profile onhttps://tao.ai/p/fff/recruit/cos #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/_/cos(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/cos/(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.

Denver Job Fair Pro Job Fair Pro has teamed up with Best Hire Career Fairs to bring you the best Job Fairs and Career Fairs in the country. We have four events in Denver in 2019. Denver Job Fairs in 2019Denver Job Fair January 23, 2019 Denver Job Fair April 4, 2019Denver Job Fair June 20, 2019Denver Job Fair September 26, 2019 Denver Job Fair December 5, 2019 Location of Our Events Holiday Inn Denver-Cherry Creek455 South Colorado Boulevard Denver, CO80246 Why you should attend our Denver Job FairsOpen the doors of opportunity when you meet and interview with the top hiring companies in Denver. This career fair will allow you to learn about the businesses that are hiring and what their hiring needs are. Tired of sending your resume over the web to get no responses back? Put a face with a name and make a great first impression. Register today, and you could get hired live at our next career fair in Denver. Industries that hire at our Denver Job FairsAccommodations, Accounting, Advertising, Aerospace, Agriculture & Agribusiness, Air Transportation, Apparel & Accessories, Auto, Banking, Beauty & Cosmetics, Biotechnology, Chemical, Communications, Computer, Construction, Consulting, Consumer Products, Education, Electronics, Employment, Energy, Entertainment & Recreation, Fashion, Financial Services, Fine Arts, Food & Beverage, Green Technology, Health, Information, Information Technology, Insurance, Journalism & News, Legal Services, Manufacturing, Media & Broadcasting, Medical Devices & Supplies, Motion Pictures & Video, Music, Pharmaceutical, Public Administration, Public Relations, Publishing, Real Estate, Retail, Service, Sports, Technology, Telecommunications, Tourism, Transportation, Travel, Utilities, Video Game, Web Services Benefit packages offered by employersSalaried PositionsBase Salary + Positions BonusesCommissionLife InsurancePaid HolidaysPaid Company TrainingManagement TrainingRapid Career AdvancementFree for all Job Seekers Be prepared to interview with hiring managers and recruiters from the top hiring companies in Denver. Dress to impress and bring plenty of resumes. Are you an employer looking to attend our events ? We have received hundreds of job seeker registrations for this event contact us today to reserve a spot at this event for your company. DenverJob Fair Pro ScheduleDenver Job Fair January 23, 2019 Denver Job Fair April 4, 2019Denver Job Fair June 20, 2019Denver Job Fair September 26, 2019 Denver Job Fair December 5, 2019

IF YOU ARE INTERESTED IN ELEVATING YOUR CAREER IN REAL ESTATE, JOIN US FOR CAREER NIGHT TO GAIN MORE INFORMATION ABOUT OUR AMAZING OFFICE AND LET US HELP YOU TAKE YOUR BUSINESS TO THE NEXT LEVEL!

Are you still looking for that golden career opportunity that will allow you to build a solid future for yourself and your family? United Career Fairs can help! We have over 20 years of experience in connecting candidates just like you 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, April 23rd, 2019 – 6pm Sharp Doubletree by Hilton Denver Tech 7801 East Orchard Road Greenwood Village, CO 80111 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

Denver Professional Career Event - Sales & Management Specific HireLive is a national career service company specializing in Sales, Retail and Management Career Fairs, and has more than a decade of experience in connecting job seekers with industry leading companies that are currently hiring. This is your opportunity to interview face to face with 15+ Fortune 500 and Industry Leading companies seeking talented, experienced and enthusiastic sales, retail and management candidates. Many of the companies we work with offer some/all of the following: -Base + Uncapped Commission Pay Structure -Flexible Work Schedule -Full Benefits, 401K, Stock Options -Company Car or Gas Allowances -President Club Trips & Other Incentives -Opportunity for Immense Growth -$70k+ 1st Yr Salaries Meet With Hiring Managers on May 2nd! Denver Thursday, May 2nd 9:30am 1:00pm Embassy Suites Denver Tech Center 10250 East Costilla Avenue Centennial, CO 80112 Parking: Complimentary Email Your Resume To: 22505-21-mh2006@apply.maxhire.net Bring 10-15 Resumes. Dress Business Professional. This is a free event for job seekers www.HireLive.com Job Opportunities Include: Inside Sales Reps, Outside Sales Reps, Account Executives, Retail Managers, Account Managers, Insurance Sales, Customer Service, Technical Sales, Sales Managers, Pharmaceutical Sales, Telesales, Sales Trainer, Merchandiser, Mortgage Brokers, Financial Planner, Route Sales, Retail Sales, Retail Management, Human Resources and much more!

Opportunities in Aerospace, Contracts, Cyber, Engineering, Finance, Intelligence, IT, Logistics, Management, Security, Space, and more!

Start a phenomenal career in security with Allied Universal! Attend this job fair to learn more.

Join us for a free professionalcareer fairlike no other! This is your opportunity to meet with top quality employers seekingdiversityinbilingualand professional candidates like you - so bring plenty of copies of your resume and dress to impress, because our employers are looking for hires!

DenverCareer Fair This hiring event is FREE to Job Seekers. Click the green register button above. You are invited to attend our upcoming career fair, attendance is free! This will be a great opportunity to meet local, regional, and Fortune 500 Companies with immediate job openings in your area. Our events are open to executive level experienced professionals as well as entry level and recent college graduates. This is your chance to meet directly with hiring managers! Make sure to register so that companies can review your resume prior to attending the career fair. Many career opportunities include some/all of the following: Base salary plus commission Flexible schedule Opportunity for advancement Car/Gas allowance Healthcare Stock Options Retirement Plans Sales Awards/Bonuses/Trips Be prepared: Plan to take updated crisp resumes to a career fair,prepare to interview on the spot, dress to impress: Professional Attire is Required Job Seeker Registration: Click the green register button above Are you an employer? Are you in need of high quality candidates? Click below to register for a booth at this career fair:

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