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HADOOP

  • HADOOP – Big Data – Content
    Hadoop
    What is big Data
    What is Hadoop
    Relation between Big data and Hadoop
    Need of going ahead with Hadoop
    Challenges with Big Data
    Storage
    Processing
    Comparison with other Technologies
    RDBMS
    DATA WAREHOUSE
    TERADATA
    Components of Hadoop Echo System
    Storage Components
    Processing Components
    HDFS (Hadoop Distributed file System)
    What is a cluster environment
    Cluster Vs Hadoop cluster
    Features of HDFS
    Storage aspects of HDFS
    Block
    Configuring the Block size
    Why HDFS Block size is so large
    Design Principles of Block size
    HDFS Architecture – 5 Daemons of Hadoop
    Name Node
    Data Node
    Secondary Name Node
    Job Tracker
    Task Tracker
    Replication in Hadoop – Fail over Mechanism
    Data Storage in Data Nodes
    Replication
    Custom Replication
    MapReduce
    Why Map Reduce is essential in Hadoop
    Processing Daemons of Hadoop
    Job Tracker
    Roles of Job Tracker
    How to configure Job Tracker in Hadoop
    Task Tracker
    Roles of Task Tracker
    Drawbacks W.R.T failure in cluster
    Input Split
    Need of Input Split
    Input Split Size
    Input split size Vs block size
    Input Split Vs Mappers
    Map Reduce Programming Model
    Different phases of Map Reduce Algorithm
    Data Types in Map Reduce
    Basis Map Reduce program
    Driver code
    Mapper Code
    Reducer Code
    Combiner in Map Reduce
    Practitioner in Map Reduce
    Joins in map Reduce
    Map side join
    Reduce side join
    Performance trade off
    Map Reduce Streaming
    Apache PIG
    Introduction to PIG
    Map Reduce Vs PIG
    SQL Vs PIG
    Data Types in PIG
    Execution Modes of Pig ( Local/Distributed)
    Execution Mechanism { Grunt Shell, Script }
    Writing Simple pig script
    Bags, Tuples, and Fields in PIG
    UDF’s in PIG
    HIVE
    Need of Apache Hive
    HIVE Architecture [ Driver, Compiler, Executer ] HIVE Query language
    SQL Vs HIVE QL
    Collection Data types in Hive [ Array, Struct, Map ] UDF’s in HIVE
    UDAFs
    UDTFs
    SerDe [ Hive serializer / Deserializer ] SQOOP
    Introduction
    MySQL Initialization
    Connecting RDBMS using SQOOP
    Sqoop Commands
    HBASE
    Introduction
    HDFS Vs HBase
    HBase Architecture
    MapReduce over HBase
  • Pre Requisites: Core JAVA + Linux Commands
    Time Duration: 5 Weeks [30 Hrs + lab]

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