16 job fairs found in Missouri

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

Join us on July 30, 2019 for the Kansas City Career Fair. Meet face to face with recruiters and hiring managers to apply for positions in: Sales Management Government Customer Service/Call Center Insurance Banking/Financial Services Healthcare Education IT/Engineering Retail.....and more The career fair starts at 9:30 AM and professional dress is strongly recommended. This job fair is free to job seekers and allows you to connect face to face with top employers. A list of the attending employers and open positions will be sent to all registered candidates the week before the career fair. To apply directly to open positions please register here: http://talentcareerfairs.com/candidates/ We are looking forward to seeing you there! Recruitment Services Talent Career Fairs. 800-201-3873

Dont miss Congressman Clays 14th Annual Congressional Career Fair on Monday, June 3, 2019 from 9:30 a.m. to 2:30 p.m. at Harris-Stowe State University,Emerson Physical Education & Performing Arts Center, 3026 Laclede Ave., St. Louis, MO 63103. The free fair attracts more than 100 employers including BJC, SSM Health, The Boeing Company, the NGA, and more. Stop by the U.S. Census Bureaus table to inquire about their well-paying jobs that will ensure our region is not undercounted in the 2020 census. Please wear business attire and bring your resume. No pre-registration required.

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

RECRUIT TOP TALENT AT OUR UNIQUE ON-SITE, ON-AIR & ON-LINE CAREER FAIR/DIVERSITY RECRUITMENT CAMPAIGN - SPECIAL JOB SEEKER GRAND PRIZE DRAWING AT THE ON-SITE EVENT!!! ChampionsOfDiversity.org, I Heart Radio and Choice Career Fairs have partnered to present a college & professional career fair that provides recruiters the latest in social networking communications and online recruitment technology along with the wide reach of I Heart Radio and the diverse job seeker network of ChampionsOfDiversity.org, Incallowing recruiters to connect and communicate in real-time with thousands of diverse job seekers on-line and then setup meetings face-to-face at the live on-site career fair event. So whether you're looking to hire candidates in for warehousing, logistics, retail, banking, manufacturing, marketing, technology, media, sales and more, you will find all the best talent on-line and on-site @ Champions Of Diversity On-Air Job Fair Series @ ChampionsOfDiversity.org &https://www.iheartmedia.com/iheartmedia/stations?city=Columbus

What to expect... You'll meet face-to-face with hiring decision-makers from some of the areas top employers. Dress professionally and bring plenty of resumes, because they're here to hire. Walk in and start interviewing, it's that simple. Save time, money and effort interviewing with multiple companies in one day at one location. Many of these companies have several openings and are eager to meet with you. You're no longer just a piece of paper. Attend the career fair and get infront of decision makers. What are you waiting for?... Let us know you're coming and register today

Live Recruiting/Hiring Event! Ready for a new career? National Career Fairs is the industry leader and we are driving employers and future employees together faster then ever before. Now Is The Time to Start or Advance Your Career Today! 3 Steps To Your Future... 1.Register a. Provide all information including a valid cell number so we can send you updates and alerts. b. Emails will be sent for reminders and a few days before the event, a Career Fair Guide will be provided that lists all employers and job titles they are hiring for. c. After registering, go to FindYourNewJob.com and upload your resume and search the jobs available. 2.Attend Event a. Dress for Success! Business attire. b. Bring plenty of resumes to the event. 3.Get Hired at The Event If you have questions, call us at 877-561-5627

FREE FOR ALL JOB SEEKERS! 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 three hours as you would make in weeks of job searching on your own. BENEFITS OF ATTENDING A JOBFAIRX EVENT: Open the doors of opportunity when you meet and interview with hiring managers at companies ranging from small local businesses to Fortune 500 corporations. 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 and not receiving any responses back? By attending this event, you will be able to meet directly with hiring managers and get instant feedback on your resume and possibly even BE HIRED ON THE SPOT! BENEFIT PACKAGES OFFERED BY EMPLOYERS Salaried Positions Base Salary + Positions Bonuses Commission Life Insurance Paid Holidays Paid Company Training Management Training Rapid Career Advancement EMPLOYERS INTERESTED IN ATTENDING THIS EVENT? Email Scott Lobenberg atscott@jobfairx.comor call702-269-1414 to inquire about setting up a booth for your company. INDUSTRIES THAT HIRE AT OUR CAREER FAIRS Accommodations, 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 Key Words: Account Executive, Sales Representative, Account Manager, B2B, retail sales, furniture, sales, financial services, customer service, Business Development Manager, Sales Manager, Financial Services, Insurance, Telecommunications, Pharmaceutical, Hospital Representative, Medical, Marketing, Advertising, Healthcare, Telecom, Information Technology, Software, Security Services, Advertising, Payroll, Sales Management, Sales Trainee, Management Trainee, At home sales, cold calling, telemarketer, telemarketing, financial advisor, insurance sales, outside sales, outside sales representative, sales executive, salesman, salesperson, sales women, marketing, Job Fair in St. Louis, Jobs in St. Louis, Sales positions in St. Louis, Hiring in St. Louis, St. LouisJobs, St. LouisJob openings, St. LouisJob Fairs, Career Fair in St. Louis, St. LouisCareer Fair.

FREE FOR ALL JOB SEEKERS! 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 three hours as you would make in weeks of job searching on your own. BENEFITS OF ATTENDING A JOBFAIRX EVENT: Open the doors of opportunity when you meet and interview with hiring managers at companies ranging from small local businesses to Fortune 500 corporations. 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 and not receiving any responses back? By attending this event, you will be able to meet directly with hiring managers and get instant feedback on your resume and possibly even BE HIRED ON THE SPOT! BENEFIT PACKAGES OFFERED BY EMPLOYERS Salaried Positions Base Salary + Positions Bonuses Commission Life Insurance Paid Holidays Paid Company Training Management Training Rapid Career Advancement EMPLOYERS INTERESTED IN ATTENDING THIS EVENT? Email Scott Lobenberg atscott@jobfairx.comor call702-269-1414 to inquire about setting up a booth for your company. INDUSTRIES THAT HIRE AT OUR CAREER FAIRS Accommodations, 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 Key Words: Account Executive, Sales Representative, Account Manager, B2B, retail sales, furniture, sales, financial services, customer service, Business Development Manager, Sales Manager, Financial Services, Insurance, Telecommunications, Pharmaceutical, Hospital Representative, Medical, Marketing, Advertising, Healthcare, Telecom, Information Technology, Software, Security Services, Advertising, Payroll, Sales Management, Sales Trainee, Management Trainee, At home sales, cold calling, telemarketer, telemarketing, financial advisor, insurance sales, outside sales, outside sales representative, sales executive, salesman, salesperson, sales women, marketing, Job Fair in Kansas City, Jobs in Kansas City, Sales positions in Kansas City, Hiring in Kansas City, Kansas CityJobs, Kansas CityJob openings, Kansas CityJob Fairs, Career Fair in Kansas City, Kansas CityCareer Fair.

Live Recruiting/Hiring Event! Ready for a new career? National Career Fairs is the industry leader and we are driving employers and future employees together faster then ever before. Now Is The Time to Start or Advance Your Career Today! 3 Steps To Your Future... 1.Register a. Provide all information including a valid cell number so we can send you updates and alerts. b. Emails will be sent for reminders and a few days before the event, a Career Fair Guide will be provided that lists all employers and job titles they are hiring for. c. After registering, go to FindYourNewJob.com and upload your resume and search the jobs available. 2.Attend Event a. Dress for Success! Business attire. b. Bring plenty of resumes to the event. 3.Get Hired at The Event If you have questions, call us at 877-561-5627

Join us for a Kansas City Job Fair in Gladstone and enjoy a FREE LUNCH! Meet with dozens of local employers with hundreds of available job openings! They're ready to hire now! We recommend bringing several copies of your resume to share with employers. This job fair is free to attend, no registration required for job seekers.  For a full list of employers and their job openings, visit  StepUpJobFairs.com EMPLOYERS: To register your business, contact Peter Steimle at psteimle@stepupjobfairs.com

RecruitMilitary is hosting a job fair in St. Louis, MO on Thursday, June 13th, 2019 from 11:00am to 3:00pm.  This job fair is for military veterans who have served or are currently serving in the armed forces of the United States to include the National Guard and Reserves. Spouses are also welcome to attend.   For more information click   here .

RecruitMilitary is hosting a job fair in Kansas City, MO on Thursday, March 28th, 2019 from 11:00am to 3:00pm. This job fair will be located at Arrowhead Stadium. This job fair is for military veterans who have served or are currently serving in the armed forces of the United States to include the National Guard and Reserves. Spouses are also welcome to attend.   For more information click   here .