Ebook: Scaling big data with Hadoop and Solr: understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
Author: Karambelkar Hrishikesh Vijay
- Tags: Big data, COMPUTERS--General, Information storage and retrieval systems, Open source software, Search engines, Electronic books, Apache Hadoop, COMPUTERS -- General
- Series: Community experience distilled
- Year: 2015
- Publisher: Packt Publishing
- City: Birmingham;UK
- Edition: Second edition
- Language: English
- pdf
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
Download the book Scaling big data with Hadoop and Solr: understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr for free or read online
Continue reading on any device:
Last viewed books
Related books
{related-news}
Comments (0)