HADOOP TRAINING IN PONDICHERRY | BIG DATA TRAINING IN PONDICHERRY - OCEANACADEMY

HADOOP

Hadoop Certification Training | Course | Ocean Academy

Course Description

  • What's the focus of this course?

    Hadoop course enables students and professionals to comprehend basic terminologies The Hadoop course will also familiarize you with basic programming knowledge

     

  • What are the course objectives?

  • Who should take this course?

Course Preview

    • Lesson 1 -Why Big Data and Hadoop?

      • 1 Role Big Data plays in our lives.
      • 2 History of Hadoop and its role in the Big Data Space.
    • Lesson 2 - Setting up a Cloudera VM on the local machine

      • 1 Downloading
      • 2 Copying and Installing Virtual BoxDownloading
      • 3 Copying the ""right"" cloudera VM installerInstalling Cloudera bits on the VMPrepping up the VM instance for the course.
      • 4 Enabling Sharable folders, bidirectional copying
      • 5 Brief discussion on modes of operation in Hadoop
      • 6 Running a sample hadoop jar
    • Lesson 3 - HDFS

      • 1 Role of HDFS in the Big Data world.Comparison of Local FS and HDFS
      • 2 Discussion on Name Node and Data Node.
      • 3 Anatomy of File Read / Write in HDFS
      • 4 Failures – NameNode
      • 5 Data NodeHDFS Federation – What / Why
    • Lesson 4 - MapReduce

      • 1 Map Reduce explained with a simple real-life example
      • 2 Map Reduce introduced with the WordCount program
      • 3 YARN – IntroductionComponents, Failures, SchedulingTool
      • 4 Tool Runner ClassesKey- Value PairsInput
      • 5 Output File FormatsSerializationCombiners
      • 6 PartitionersShuffle and SortCounters
    • Lesson 5 - Pig

      • 1 Need
      • 2 History of PigInstalling
      • 3 Configuring Pig - Modes of ExecutionDiscussion on Pig LatinLOAD
      • 4 Describe
      • 5 Illustrate
      • 6 DUMP commands Filters
      • 7 Foreach
      • 8 Generate
      • 9 Group commands UNION
      • 10 Split Writing UDFs
    • Lesson 6 - Hive

      • 1 Need
      • 3 Configuring
      • 4 Modes of ExecutionHiveQL Vs SQL (RDBMS)
      • 5 External TablesBuckets
      • 6 partitionsCTAS
      • 7 Multiple InsertsDifferent ways of interacting with Hive (shell / hue)
      • 8 Writing UDFs and using them in Hive
    • Lesson 7 - Sqoop

      • 1 Why SQOOP?Installing
      • 2 ConfiguringImporting Data into Hadoop using SQOOP
      • 3 Import into HDFSDirect
      • 4 Import into HiveExporting Data from Hadoop using SQOOP
    • Lesson 8 - Oozie

      • 1 What purpose does Oozie serve?
      • 2 Discussion on Workflow.xml
      • 3 Job.Properties files for various toolsDiscussion on Action
      • 4 Control nodesDemo involving multiple operations using Hue Editor
      • 5 Commands (from terminal)
    • Lesson 9 - HBase

      • 1 Downloading
      • 2 Configuring and Installing HBaseWhy Hbase?
      • 3 HBase Vs RDBMSStructure of a Table
      • 4 Regions
      • 5 Region Servers
      • 6 Meta TablesBasic Commands (get, put scan)
      • 7 Loading Data into Hbase table, (Bulk loading using MR)
      • 8 Integration with Pig
      • 9 Hive Tools
    • Lesson 10 - Introduction to Spark

      • 1 Limitations of Hadoop
      • 2 Discussion on Spark ArchitecturePurpose of Spark LibrariesDemo using Streaming
      • 3 Machine Learning modules of SparkWhere to go from here?

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