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Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

By : Vijay Karambelkar
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Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

By: Vijay Karambelkar

Overview of this book

Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster.
Table of Contents (10 chapters)
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Securing Hadoop clusters

Since Apache Hadoop works with lots of information, it brings in the important aspect of data governance and security of information. Usually, the cluster is not visible directly and is used primarily for computation and historical data storage, hence the urge for security implementation is relatively less than with applications that are running over the web, which demand the highest level of security requirements to be addressed. However, should there be any need, Hadoop deployments can be extremely secure. The security in hadoop works in the following key areas:

  • Data at Rest: How data stored can be encrypted so that no one can read it
  • Data in Motion: How the data transferred over the wire can be encrypted
  • Secured System access/APIs
  • Data Confidentiality: to control data access across different users

The good part is, Apache Hadoop ecosystem components...

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