Scaling Big Data with Hadoop and Solr






[PDF.mm46] Scaling Big Data with Hadoop and Solr
Rating: 3.89 (608 Votes)

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 | #3277764 in Books |  2013-08-26 |  2013-08-26 | Original language:English | PDF # 1 |  9.25 x.33 x7.50l,.57 | File type: PDF | 144 pages

||1 of 1 people found the following review helpful.| Good SOLR refresher.|By A. Mefford|I recently read several SOLR books, brushing up my skills making sure that I was current with the technology. This was one of the more helpful as it specifically addresses some of the changes that come with SOLR cloud.

The books that I read in order of preference were:

Mastering Apache Solr: A practical guide to get to g|About the Author||Hrishikesh Karambelkar |Hrishikesh Karambelkar is a software architect with a blend of entrepreneurial and professional experience. His core expertise involves working with multiple technologies such as Apache Hadoop and Solr, and archi

By combining Apache Hadoop and Solr you can build super-efficient, high-speed enterprise search engines, and this book takes you through every stage of the process with a practical tutorial. Written specifically for Java programmers.

Overview

  • Understand the different approaches of making Solr work on Big Data as well as the benefits and drawbacks
  • Learn from interesting, real-life use cases for Big Data search along with sample code...



    You easily download any file type for your device.Scaling Big Data with Hadoop and Solr   |  Hrishikesh Karambelkar. Which are the reasons I like to read books. Great story by a great author.

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