By Hrishikesh Karambelkar
In Detail
As info grows exponentially daily, extracting details turns into a tedious job in itself. applied sciences like Hadoop are attempting to deal with many of the issues, whereas Solr presents high-speed faceted seek. Bringing those applied sciences jointly helps agencies get to the bottom of the matter of knowledge extraction from huge facts through offering very good disbursed faceted seek capabilities.
Scaling massive facts with Hadoop and Solr is a step by step advisor that is helping you construct excessive functionality company se's whereas scaling information. beginning with the fundamentals of Apache Hadoop and Solr, this e-book then dives into complicated subject matters of optimizing seek with a few attention-grabbing real-world use situations and pattern Java code.
Scaling significant information with Hadoop and Solr starts off by way of educating you the fundamentals of massive information applied sciences together with Hadoop and its environment and Apache Solr. It explains different methods of scaling sizeable info with Hadoop and Solr, with dialogue concerning the applicability, advantages, and downsides of every strategy. It then walks readers via how sharding and indexing may be played on colossal information through the functionality optimization of massive information seek. eventually, it covers a few real-world use situations for large information scaling.
With this ebook, you'll examine every little thing you must comprehend to construct a disbursed firm seek platform in addition to how you can optimize this seek to a better quantity leading to greatest usage of obtainable resources.
Approach
This publication is a step by step educational that might show you how to leverage the versatile seek performance of Apache Solr including the massive info energy of Apache Hadoop.
Who this ebook is for
Scaling sizeable info with Hadoop and Solr offers tips to builders who desire to construct high-speed firm seek structures utilizing Hadoop and Solr. This ebook is basically geared toward Java programmers who desire to expand the Hadoop platform to make it run as an company seek with none earlier wisdom of Apache Hadoop and Solr.
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Scaling Big Data with Hadoop and Solr by Hrishikesh Karambelkar
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