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Digi Pathshala Core Java And Big Data Hadoop Dvd - Pack Of 2

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Highlights

  • Stream:Hadoop
  • Format:DVD
  • SUPC: SDL863462347

Description

Learn Core Java Is The Complete Programming Language Combo Pack Made Exclusively For Those Who Want To Learn Java Programming Right From The Scratch. Your Core Java Skills Will Be Enhanced Only Because Of The Strong Foundation. Learn Big Data Hadoop Hadoop Training Will Help You Setup Hadoop And Learn Hadoop And Mapreduce Programming From Beginner To Advance Level And This Course Is Designed To Clear Cloudera Certified Developer For Apache Hadoop (CCDH). Here Are The Major Components Of This Training Course: Introduction To Hadoop And Its Ecosystem, Map Reduce And Hdfs, Deep Dive In Map Reduce And Yarn, Deep Dive In Pig & Hive, Introduction To Hbase Architecture, Hadoop Cluster Setup And Running Map Reduce Jobs, Advance Mapreduce. Hands On Exercise: End To End Poc Using Yarn Or Hadoop 2 End To End Poc Using Yarn Or Hadoop 2.0 Learning Objectives: The Key Objectives Of This Online Big Data Hadoop Tutorial And Training Program Are To Enable Developers To: Programming In Yarn (MRV2) Latest Version Of Hadoop Release 2.0 Implementation Of Hbase, Mapreduce Integration, Advanced Usage And Advanced Indexing Advance Map Reduce Exercises - Examples Of Facebook Sentiment Analysis, Linkedin Shortest Path Algorithm, Inverted Indexing Derive An Insight Into The Field Of Data Science Understand The Apache Hadoop Framework Learn To Work With Hadoop Distributed File System (hdfs) Learn How Mapreduce Interacts With Data And Processes Them Ability To Design And Develop Applications Involving Large Data Using Hadoop Eco System. Differentiate Between New As Well As Old Apis For Hadoop Understand How Yarn Engages In Managing Compute Resources Into Clusters Last But Not The Least, The Hadoop Online Tutorial Program Prepares Programmers For Better Career Opportunities In The World Of Big Data! In This Course From Each Component We Have Covered Almost All The Concepts In Depth, Like Partitioner, Combiner, Mapreduce Sql Programs, Mapreduce Counters, Secondary Sorting, Record Reader, Reading Excell Files, Reading Json Files, Reading Url Files, Reading Data From Twitter And Performing Analytics, Hive Serde, Hive UDF, UDTF, Pig Storage, Pig UDF, Load Func, Eval Func, Filter Func, Namenode Architecture, Datanode Architecture, Secondary Namenode Architecture And Mapreduce Architecture.

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