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      Big Data and Hadoop Administrator Certification Training in Fresno, CA in Fresno


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      December 24, 2019

      Tuesday   9:00 AM (on various days)

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      Big Data and Hadoop Administrator Certification Training in Fresno, CA

      Key Features32 hours of Classroom training100% Money Back Guarantee*20 hours of self-paced videoIncludes 4 real industry-based projectsPrepares for Cloudera CCAH ‘CCA-500’ certification examIncludes 3 simulation exams aligned to ‘CCA-500’ certification exam About the CourseEducera'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 managersIT administrators and operatorsIT Systems EngineerData Engineer and database administratorsData Analytics AdministratorCloud Systems AdministratorWeb 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 activitiesLearn about computational frameworks for processing Big DataLearn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop ClusterLearn about Cluster planning and tools for data ingestion into Hadoop clustersLearn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and KafkaUnderstand security implementation to secure data and clusters.Learn about Hadoop cluster monitoring activitiesBig Data Hadoop Administrator Training – Course AgendaLesson 1: Big Data & Hadoop IntroductionBig 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 SolutionsWelcome to the world of Big Data—What, Why & WhereCase studiesHadoop & its EcosystemHadoop Core componentsHadoop & its capabilitiesLesson 2: HDFS – Hadoop Distributed File System & Hadoop’s DistributionsIn 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 & featuresLearn about possibilities without HDFSDifferentiate or find similarities in different distributions of Hadoop.Identify the requirements to set up a Hadoop clusterLesson 3: Hadoop Cluster Setup & Working with Hadoop ClusterIn 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 SolutionChoice of Installation methods—Automated/ ManualLinux machines setup—Virtualization & CloudHadoop Cluster Setup—Apache Hadoop V2 & Cloudera Distribution of Hadoop (CDH)Cloudera manager features and capabilitiesWorking with Hadoop cluster, HDFS & dataWorking with management console/ UI ( user interfaces) & Linux terminalsUnderstand administration scenariosLesson 4: Hadoop Configurations & Daemon LogsIn 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 configurationExplain how to manage Hadoop configuration with Cloudera ManagerLocate configuration files and make changesExplain how to deal with stale configurationsExplain the properties of addresses and ports of RPC and HTTP servers run by Hadoop DaemonsLocate log files generated on hostsFilter information in log filesExplain how to get diagnostic information from log filesLesson 5: Hadoop Cluster Maintenance & AdministrationIn 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 wayExplain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodesExplain how to balance a clusterList the steps for managing services including adding, deleting, starting, stopping and checking the status of servicesExplain the procedure to enable rack awarenessList the steps to add, remove and move role instances and hostsCite the challenges faced with the first version of HadoopExplain the features in the second version that help overcome the challenges faced in the first versionLesson 6: Hadoop Computational FrameworksIn 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 frameworksExplain MapReduce conceptsDescribe MRv2 on YARNExplain configuring and understanding of YARNDescribe YARN applicationsDescribe YARN memory and CPU settingsLesson 7: Scheduling—Managing resources via SchedulersIn 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 conceptsIndentify the SchedulersExplain the ways to manage resources using SchedulersDescribe FIFO, Fair Scheduler, and Capacity SchedulerExplain how to configure SchedulersExplain queue managementLesson 8: Hadoop Cluster PlanningIn 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 ClusterGeneral Planning considerationsWorkload and cluster sizingMaking Choices—Hardware, Software & NetworkMaking Choices—Master/Slave considerationsNews from the world—Existing SetupsLesson 9: Hadoop Clients & HUE interfaceIn 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 nodesInstall and configure Hadoop clientsExplain how Hue worksInstall and configure HueDescribe how authentication and authorization is managed in HueLesson 10: Data Ingestion in Hadoop ClusterIn 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 typesKnowing about various data ingestion tools & their capabilitiesUnderstanding how Flume worksUnderstanding how sqoop worksIn 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 ecosystemList the advantages and key features of HiveDescribe briefly about the components of HiveExplain how to configure Hive in different modesExplain the architecture of HBase and cite the advantages of using HBaseExplain the working of Apache KafkaDescribe the architecture of Apache SparkLesson 12: Hadoop Security—Securing Hadoop ClusterIn 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 dataIdentify the different threat categoriesDescribe the security aspects for different nodesDescribe operating system securityDescribe Kerberos and how it worksDescribe Service Level AuthorizationIn this lesson you will learn about basics of cluster monitoring, choosing right monitoring solutions, Hadoop metrics categories & types and Cloudera manager’s features and capabilities that can be used for monitoring your Hadoop cluster. Topics covered are:Describe cluster monitoringDescribe the ways to choose the right monitoring solutionsList the features and considerations of Cloudera manager for monitoringDescribe the different categories of Hadoop MetricsList the different types of Hadoop MetricsList the steps to monitor a cluster by using Cloudera Manager Why Educera?Educera’s 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 dateTraining 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

      Categories: Business & Networking

      This event repeats on various days: Nov 26, Dec 24, Jan 28

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.