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Scaling Big Data with Hadoop and Solr
Hrishikesh Karambelkar
[PDF.oh80] Scaling Big Data with Hadoop and Solr
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| #3125167 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 gadget.Scaling Big Data with Hadoop and Solr | Hrishikesh Karambelkar. I really enjoyed this book and have already told so many people about it!
