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Ingestion of Big Data Using Apache Sqoop & Apache Flume

Discussion in 'Spam' started by mitsumi, Jan 15, 2019.

  1. mitsumi

    mitsumi Registered User

    Likes Received:
    Aug 10, 2016
    Ingestion of Big Data Using Apache Sqoop & Apache Flume
    .MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 2.96 GB
    Duration: 4.5 hours | Genre: eLearning | Language: English
    Learn How to Import data to HDFS, HBase and Hive and many sources , including Twitter and MySQL.​

    What you'll learn

    HIVE Import with Sqoop
    Hive Export with Sqoop
    Import Data into HBase
    Sqoop2 Architecture
    Twitter Data in HDFS
    Twitter Data in HBase using Flume
    Interceptor Channels selector and Sink processor etc.


    Basic Knowledge of Big Data
    Basic Knowledge of Hadoop
    Basic Knowledge of Mysql


    This course provides basic and advanced concepts of Sqoop. This course is designed for beginners and professionals.

    Sqoop is an open source framework provided by Apache. It is a command-line interface application for transferring data between relational databases and Hadoop.

    This course includes all topics of Apache Sqoop with Sqoop features, Sqoop Installation, Starting Sqoop, Sqoop Import, Sqoop where clause, Sqoop Export, Sqoop Integration with Hadoop ecosystem etc.

    Flume is a standard, simple, robust, flexible, and extensible tool for data ingestion from various data producers (webservers) into Hadoop. In this course, we will be using simple and illustrative example to explain the basics of Apache Flume and how to use it in practice.

    Who this course is for:

    Professionals aspiring to make a career in Big Data Analytics using Hadoop Framework with Sqoop
    ETL developers and professionals who are into analytics in general may as well use this course to good effect.


    Download link:
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