Scaling Big Data with Hadoop and Solr - Second Edition

Scaling Big Data with Hadoop and Solr - Second Edition
Author: Hrishikesh Vijay Karambelkar
Publisher: Packt Publishing Ltd
Total Pages: 166
Release: 2015-04-27
Genre: Computers
ISBN: 1783553405


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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.


Scaling Big Data with Hadoop and Solr - Second Edition
Language: en
Pages: 166
Authors: Hrishikesh Vijay Karambelkar
Categories: Computers
Type: BOOK - Published: 2015-04-27 - Publisher: Packt Publishing Ltd

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This book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. N
Scaling Big Data with Hadoop and Solr - Second Edition
Language: en
Pages: 166
Authors: Hrishikesh Vijay Karambelkar
Categories: Computers
Type: BOOK - Published: 2015-04-30 - Publisher: Packt Publishing

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Scaling Big Data with Hadoop and Solr
Language: en
Pages: 0
Authors: Hrishikesh Karambelkar
Categories: Apache Hadoop
Type: BOOK - Published: 2013 - Publisher: Packt Publishing

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As data grows exponentially day-by-day, extracting information becomes a tedious activity in itself. Technologies like Hadoop are trying to address some of the
Data Lake Development with Big Data
Language: en
Pages: 164
Authors: Pradeep Pasupuleti
Categories: Computers
Type: BOOK - Published: 2015-11-26 - Publisher: Packt Publishing Ltd

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Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies About This B
Handbook of Research on Big Data Storage and Visualization Techniques
Language: en
Pages: 1078
Authors: Segall, Richard S.
Categories: Computers
Type: BOOK - Published: 2018-01-05 - Publisher: IGI Global

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The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected infor