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    big data hadoop online training Hyd India Apex Online IT

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    Description for "big data hadoop online training Hyd India Apex Online IT"

    Bigdata Hadoop live online training, job support, Corporate Training | 100% hands-on & Realtime oriented

    Big data Hadoop course causes you to a professional in real-time implementation of Hadoop Frameworks and helps you clear Cloudera CCA Spark and Hadoop Developer Certification ( CCA175). you'll master Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark ..etc together with Hadoop Administration.

    FOR FREE DEMO contact :
    Email : [email protected]
    Phone/WhatsApp : +91-(850) 012-2107
    USA Number : 214-628-3894
    Gtalk : [email protected]
    Blog: http://apex-it-online-trainings.blogspot.in
    Website: www.apex-online-it-trainings.com

    Hadoop Interview queries and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments are provided

    HADOOP/BIGDATA COURSE define

    (the course content can be customized as per your needs):

    Introduction:-
    Big Data Introduction
    Hadoop Introduction
    What is Hadoop? Why Hadoop?
    Hadoop History?
    Different types of Components in Hadoop?
    HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on
    What is the scope of Hadoop?

    Deep Drive in HDFS (for Storing the Data):-
    Introduction of HDFS
    HDFS Design
    HDFS role in Hadoop
    Features of HDFS
    Daemons of Hadoop and its functionality
    Name Node
    Secondary Name Node
    Job Tracker
    Data Node
    Task Tracker
    Anatomy of File Wright
    Anatomy of File Read
    Network Topology
    Nodes
    Racks
    Data Center
    Parallel Copying using DistCp
    Basic Configuration for HDFS
    Data Organization
    Blocks and
    Replication
    Rack Awareness
    Heartbeat Signal
    How to Store the Data into HDFS
    How to Read the Data from HDFS
    Accessing HDFS (Introduction of Basic UNIX commands)
    CLI commands

    MapReduce using Java (Processing the Data):-
    Introduction of MapReduce.
    MapReduce Architecture
    Data flow in MapReduce
    Splits
    Mapper
    Portioning
    Sort and shuffle
    Combiner
    Reducer
    Understand Difference Between Block and InputSplit
    Role of RecordReader
    Basic Configuration of MapReduce
    MapReduce life cycle
    Driver Code
    Mapper
    and Reducer
    How MapReduce Works
    Writing and Executing the Basic MapReduce Program using Java
    Submission & Initialization of MapReduce Job.
    File Input/output Formats in MapReduce Jobs
    Text Input Format
    Key Value Input Format
    Sequence File Input Format
    NLine Input Format
    Joins
    Map-side Joins
    Reducer-side Joins
    Word Count Example
    Partition MapReduce Program
    Side Data Distribution
    Distributed Cache (with Program)
    Counters (with Program)
    Types of Counters
    Task Counters
    Job Counters
    User Defined Counters
    Propagation of Counters
    Job Scheduling

    PIG:-
    Introduction to Apache PIG
    Introduction to PIG Data Flow Engine
    MapReduce vs PIG in detail
    When should PIG used?
    Data Types in PIG
    Basic PIG programming
    Modes of Execution in PIG
    Local Mode and
    MapReduce Mode
    Execution Mechanisms
    Grunt Shell
    Script
    Embedded
    Operators/Transformations in PIG
    PIG UDF s with Program
    Word Count Example in PIG
    The difference between the MapReduce and PIG

    SQOOP:-
    Introduction to SQOOP
    Use of SQOOP
    Connect to mySql database
    SQOOP commands
    Import
    Export
    Eval
    Codegen and etc
    Joins in SQOOP
    Export to MySQL

    HIVE:-
    Introduction to HIVE
    HIVE Meta Store
    HIVE Architecture
    Tables in HIVE
    Managed Tables
    External Tables
    Hive Data Types
    Primitive Types
    Complex Types
    Partition
    Joins in HIVE
    HIVE UDF s and UADF s with Programs
    Word Count Example

    HBASE:-
    Introduction to HBASE
    Basic Configurations of HBASE
    Fundamentals of HBase
    What is NoSQL?
    HBase DataModel
    Table and Row
    Column Family and Column Qualifier
    Cell and its Versioning
    Categories of NoSQL Data Bases
    Key-Value Database
    Document Database
    Column Family Database
    SQL vs NOSQL
    How HBASE is differ from RDBMS
    HDFS vs HBase
    Client side buffering or bulk uploads
    HBase Designing Tables
    HBase Operations
    Get
    Scan
    Put
    Delete

    MongoDB:--
    What is MongoDB?
    Where to Use?
    Configuration On Windows
    Inserting the data into MongoDB?
    Reading the MongoDB data.

    Cluster Setup:--
    Downloading and installing the Ubuntu12.x
    Installing Java
    Installing Hadoop
    Creating Cluster
    Increasing Decreasing the Cluster size
    Monitoring the Cluster Health
    Starting and Stopping the Nodes

    OOZIE
    Introduction to OOZIE
    Use of OOZIE
    Where to use?

    Hadoop Ecosystem Overview

    Oozie

    HBase

    Pig

    Sqoop

    Casandra

    Chukwa

    Mahout


    Zoo Keeper

    Flume
    Case Studies Discussions
    Certification Guidance
    Real Time Certification and
    interview Questions and Answers
    Resume Preparation
    Providing all Materials nd Links
    Real time Project Explanation and Practice

     

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