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Apache Hadoop 3 Quick Start Guide - Learn about big data processing and analytics (Paperback): Hrishikesh Vijay Karambelkar Apache Hadoop 3 Quick Start Guide - Learn about big data processing and analytics (Paperback)
Hrishikesh Vijay Karambelkar
R840 Discovery Miles 8 400 Ships in 10 - 15 working days

A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key Features Set up, configure and get started with Hadoop to get useful insights from large data sets Work with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3 Book DescriptionApache 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. What you will learn Store and analyze data at scale using HDFS, MapReduce and YARN Install and configure Hadoop 3 in different modes Use Yarn effectively to run different applications on Hadoop based platform Understand and monitor how Hadoop cluster is managed Consume streaming data using Storm, and then analyze it using Spark Explore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and Kafka Who this book is forAspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage.

Scaling Big Data with Hadoop and Solr - (Paperback, 2nd edition): Hrishikesh Vijay Karambelkar Scaling Big Data with Hadoop and Solr - (Paperback, 2nd edition)
Hrishikesh Vijay Karambelkar
R1,224 Discovery Miles 12 240 Ships in 10 - 15 working days

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Scaling Apache Solr (Paperback): Hrishikesh Vijay Karambelkar Scaling Apache Solr (Paperback)
Hrishikesh Vijay Karambelkar
R1,250 Discovery Miles 12 500 Ships in 10 - 15 working days

This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.

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