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Big data in Bangalore

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Big data Training in Bangalore

Course Name :Big data

Duration (in Hours) 40 Target Audience Any IT professionals
Proficiency Level Basic Pre-requisites Networks

Big data Course Contents

  • Module 1 : INRODUCTION
    • Big Data
    • 3VS
    • Role of Hadoop in Big data
    • Hadoop and its ecosystem
    • Overview of other Big Data Systems
    • Requirements in Hadoop
    • UseCases of Hadoop

  • Module 2: HDFS
    • Design
    • Architecture
    • Data Flow
    • CLI Commands
    • Java API
    • Data Flow Archives
    • Data Integrity
    • Compression

  • Module 3: MapReduce
    • Theory
    • Data Flow (Map - Shuffle - Reduce)
    • Programming [Mapper, Reducer, Combiner, Partitioner]
    • Writables
    • InputFormat
    • Output format
    • Streaming API

  • Module 4: ADVANCED MAPREDUCE PROGRAMMING
    • Counters
    • custom input format
    • Distributed Cache
    • Side Data Distribution
    • Joins
    • Sorting
    • ToolRunner
    • Debugging
    • Performance Fine tuning

  • Module 5: ADMINISTRATION - Information required at the Developer level
    • Hardware Considerations- Tips and Tricks
    • Schedulers
    • Balancers
    • NameNode Failure and Recovery

  • Module 6: HBase
    • NoSQL vs SQL
    • CAP Theorem
    • Architecture
    • Configuration
    • Role of Zookeeper
    • Java Based APIs
    • MapReduce Integration
    • Performance Tuning

  • Module 7: HIVE
    • Architecture
    • Tables
    • DDL-DML - UDF - UDAF
    • Partitioning
    • Bucketing
    • Hive-Hbase Integration
    • Hive Server

  • Module 8:OTHER HADOOP ECOSYSTEMS
    • Pig (Pig Latin, Programming)
    • Sqoop (Need - Architecture, Examples)
    • Introduction to Components (Flume, Oozie,ambari)

    • Next Batch


    Starts From 17th Feb 2025


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