Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr /

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Bibliographic Details
Author / Creator:	Karambelkar, Hrishikesh Vijay, author.
Edition:	Second edition.
Imprint:	Birmingham, UK : Packt Publishing, 2015. ©2015
Description:	1 online resource : illustrations
Language:	English
Series:	Community experience distilled Community experience distilled.
Subject:	Apache Hadoop. Apache Hadoop. Big data. Search engines. Information storage and retrieval systems. Open source software. Big data. Information storage and retrieval systems. Open source software. Search engines. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11306021

Hidden Bibliographic Details
Varying Form of Title:	Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
ISBN:	9781783553402 1783553405 9781783553396 1783553391
Notes:	Includes index. Online resource; title from PDF title page (EBSCO, viewed July 7, 2017).
Summary:	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.
Other form:	Print version: Karambelkar, Hrishikesh Vijay. Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr. Second edition. Birmingham, England : Packt Publishing, ©2015 viii, 144 pages Community experience distilled. 9781783553396

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