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Scaling Big Data with Hadoop and Solr - Second Edition: Understand, Design, Build, and Optimize Your Big Data Search Engine with Hadoop and Apache Solr by Karambelkar, Hrishikesh Vijay is a nonfiction available to read on EtoBox.

What is Scaling Big Data with Hadoop and Solr - Second Edition: Understand, Design, Build, and Optimize Your Big Data Search Engine with Hadoop and Apache Solr about?

This book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. No prior knowledge of Apache Hadoop and Apache Solr/Lucene technologies is required.;Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Processing Big Data Using Hadoop and MapReduce; Apache Hadoop's ecosystem; Core components; Understanding Hadoop's ecosystem; Configuring Apache Hadoop; Prerequisites; Setting up ssh without passphrase; Configuring Hadoop; Running Hadoop; Setting up a Hadoop cluster; Common problems and their solutions; Summary; Chapter 2: Understanding Apache Solr; Setting up Apache Solr; Prerequisites for setting up Apache Solr; Running Apache Solr on jetty

Who reads Scaling Big Data with Hadoop and Solr - Second Edition: Understand, Design, Build, and Optimize Your Big Data Search Engine with Hadoop and Apache Solr?

Author

Karambelkar, Hrishikesh Vijay

Publisher

Packt Publishing, Limited

Published

2015

Language

EN

ISBN

9781783553402

Category

nonfiction

Subjects

Language Learning, Computer Science, Stem