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    3. Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

    Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

    Posted By: ksveta6
    Date: 29 Aug 2018 14:09:54
    Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

    Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data by Sridhar Alla
    2018 | ISBN: 1788628845 | English | 482 pages | True PDF/EPUB | 34 MB/33 MB

    Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3

    Key Features
    Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud
    Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink
    Exploit big data using Hadoop 3 with real-world examples
    Book Description
    Apache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples.

    Once you have taken a tour of Hadoop 3's latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases.

    By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly.

    What you will learn
    Explore the new features of Hadoop 3 along with HDFS, YARN, and MapReduce
    Get well-versed with the analytical capabilities of Hadoop ecosystem using practical examples
    Integrate Hadoop with R and Python for more efficient big data processing
    Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics
    Set up a Hadoop cluster on AWS cloud
    Perform big data analytics on AWS using Elastic Map Reduce
    UPWARDS