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Hadoop Online Training By Industry Experts |Skillvidya

<br>Hadoop: It is completely open source system that provides us the framework to deal with big data. Hadoop designed to be robust, in that your big data application will continue to run even when individual server or cluster fails. It also designed to be efficient, because it doesn’t require your application to shuttle huge volume of data across your network. Hadoop system is flexible in nature, companies can easily add or modify their data system according to their need and requirement using the cheap and readily available part from ant IT<br>contact@skillvidya.com<br> 91-9885561042<br>

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Hadoop Online Training By Industry Experts |Skillvidya

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  1. Hadoop Online Training By Industry Experts|Skillvidya Hadoop Online Training ABOUT HADOOP

  2. Hadoop: It is completely open source system that provides us the framework to deal with big data. Hadoop designed to be robust, in that your big data application will continue to run even when individual server or cluster fails. It also designed to be efficient, because it doesn’t require your application to shuttle huge volume of data across your network. Hadoop system is flexible in nature, companies can easily add or modify their data system according to their need and requirement using the cheap and readily available part from ant IT service provider.<="" div="" style="box-sizing: border-box; border: 0px; vertical-align: bottom; margin: 0px; padding: 0px; outline: 0px; font-size: 15px; max-width: 100%; filter: brightness(80%); transform: scale(1.1); backface-visibility: hidden;">

  3. HADOOP COURSE CONTENTHadoop Course ConceptsUnderstanding Big Data and Hadoop1.Big Data, Limitations and Solutions of existing Data Analytics Architecture,2.Hadoop,3.Hadoop Features,4.Hadoop Ecosystem,5.Hadoop 2.x core components,6.Hadoop Storage: HDFS,7.Hadoop Processing8.MapReduce Framework9.Hadoop Different Distributions.

  4. HADOOP REQUIREMENTSLinux commands30 Essential Linux Basic Commands You Must KnowvmwareBasicsInstallationsBackupssql basicsIntroduction to SQLMySQL EssentialsDatabase FundamentalsHands on exercise and AssignmentsHADOOP ARCHITECTURE AND HDFSHadoop 2.x Cluster ArchitectureFederation and High Availability,A Typical Production Hadoop Cluster,Hadoop Cluster Modes,Common Hadoop Shell Commands,Hadoop 2.x Configuration Files,Single node cluster and Multi node cluster set up Hadoop Administration.Hands on exercise and Assignments

  5. HADOOP MAPREDUCE FRAMEWORKMapReduce Use Cases,Traditional way Vs MapReduce way,Why MapReduce,Hadoop 2.x MapReduce Architecture,Hadoop 2.x MapReduce Components,YARN MR Application Execution Flow,YARN Workflow,Anatomy of MapReduce Program,Demo on MapReduce.Input Splits,Relation between Input Splits and HDFS Blocks,MapReduce Combiner & Partitioner,Hands on exercise and Assignments

  6. PIGAbout Pig,MapReduce Vs Pig,Pig Use Cases,Programming Structure in Pig,Pig Running Modes,Pig components,Pig Execution,Pig Latin Program,Data Models in Pig,Pig Data Types,Shell and Utility Commands,Pig Latin Relational Operators,File Loaders,Group Operator,COGROUP Operator,Joins and COGROUP,Union,Diagnostic Operators,Specialized joins in Pig,Hands on exercise and Assignments

  7. HIVE Hive Background,Hive Use Case,About Hive,Hive Vs Pig,Hive Architecture and Components,Metastore in Hive,Limitations of Hive,Comparison with Traditional Database,Hive Data Types and Data Models,Partitions and Buckets,Hive Tables(Managed Tables and External Tables),Importing Data,Querying Data,Managing Outputs,Hive Script,Hive UDF,Retail use case in Hive,Hands on exercise and Assignments

  8. ADVANCED HIVE AND HBASEHive QL: Joining Tables,Dynamic Partitioning,Custom Map/Reduce Scripts,Hive Indexes and viewsHive query optimizers,User Defined Functions,HBase:Introduction to NoSQLDatabases and HBase,HBase v/s RDBMS,HBase Components,HBase Architecture,Run Modes & Configuration,HBase Cluster Deployment.Hands on exercise and Assignments

  9. ADVANCED HBASEHBase Data Model,HBase Shell,HBase Client API,Data Loading Techniques,ZooKeeperDemos on Bulk Loading,Getting and Inserting Data,Filters in HBase.Hands on exercise and AssignmentsSqoopImport Data.Export Data.Sqoop Syntax.Databases connection.Hands on exercise and Assignments Impala.Introduction to Impala.Impala Configuration.Comparison between Hive and Impala.Impala CommandsHands on exercise and Assignments

  10. PROCESSING DISTRIBUTED DATA WITH APACHE SPARKWhat is Apache Spark,Spark Ecosystem,Spark Components,History of SparkSpark Versions/Releases,What is Scala?,Why Scala?,SparkContext,Spark SqlHands on exercise and Assignments. Flume & solrConfiguration and SetupFlume Sink with exampleChannelFlume Source with exampleComplex flume architectureStreaming data storing into solrcustomization of solrHands on exercise and Assignments HueIntroduction to HueAdvantages of HueHue Web InterfaceEcosystems in HueHands on exercise and Assignments

  11. OOZIEOozie,Oozie Components,Oozie Workflow,Scheduling with Oozie,Demo on Oozie Workflow,Oozie Co-ordinator,Oozie Commands,Oozie Web Console,Oozie for MapReduce,PIG, Hive, and Sqoop,Combine flow of MR, PIG, Hive in OozieHands on exercise and Assignments TableauTableau FundamentalsTableau Analytics.Visual Analytics.Hands on exercise and AssignmentsWHY SKILLVIDYALive project oriented training24/7 Student supportQuality material and trainingCertification and job support

  12. <a href=” http://www.skillvidya.com/courses/hadoop-online-training-certification”> Hadoop Online Training In Hyderabad</a><a href=” http://www.skillvidya.com/courses/hadoop-online-training-certification”> Big Data Hadoop Online Training In Hyderabad</a><a href=” http://www.skillvidya.com/courses/hadoop-online-training-certification”> Best Hadoop Online Training In Hyderabad </a>

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