Explore big data concepts platforms analytics and their applications using the power of Hadoop 3Key FeaturesLearn Hadoop 3 to build effective big data analytics solutions on-premise and on cloudIntegrate Hadoop with other big data tools such as R Python Apache Spark and Apache FlinkExploit big data using Hadoop 3 with real-world examplesBook 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 learnExplore the new features of Hadoop 3 along with HDFS YARN and MapReduceGet well-versed with the analytical capabilities of Hadoop ecosystem using practical examplesIntegrate 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 analyticsSet up a Hadoop cluster on AWS cloudPerform big data analytics on AWS using Elastic Map ReduceWho 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.About the AuthorSridhar Alla is a big data expert helping companies solve complex problems in distributed computing large scale data science and analytics practice. He holds a bachelor's in computer science from JNTU India. He loves writing code in Python Scala and Java. He also has extensive hands-on knowledge of several Hadoop-based technologies TensorFlow NoSQL IoT and deep learning.
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