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Big Data Analytics with Hadoop 3 - Build highly effective analytics solutions to gain valuable insight into your big data (Paperback)
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Big Data Analytics with Hadoop 3 - Build highly effective analytics solutions to gain valuable insight into your big data (Paperback)
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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 DescriptionApache 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 Who this
book is forBig Data Analytics with Hadoop 3 is for you if you are
looking to build high-performance analytics solutions for your
enterprise or business using Hadoop 3's powerful features, or
you're new to big data analytics. A basic understanding of the Java
programming language is required.
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