Download Scaling Big Data with Hadoop and Solr PDF

TitleScaling Big Data with Hadoop and Solr
Sub TitleLearn exciting new ways to build efficient, high performance enterprise search repositories for Big Data using Hadoop and Solr
AuthorHrishikesh Vijay Karambelkar
CategoryComputer & Programming
LanguageEnglish
Region
TagsBig Data Data Mining
ISBN978-1-78328-137-4
Year2013
FormatPDF
Pages144
File Size2.5 MB
Total Download88
Description

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 concerns, while Solr provides high-speed faceted search. Bringing these two technologies together is helping organizations resolve the problem of information extraction from Big Data by providing excellent distributed faceted search capabilities. Scaling Big Data with Hadoop and Solr is a step-by-step guide that helps you build high performance enterprise search engines while scaling data. Starting with the basics of Apache Hadoop and Solr, this book then dives into advanced topics of optimizing search with some interesting real-world use cases and sample Java code.

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