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Scaling Big Data with Hadoop and Solr, Second Edition. Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr

Scaling Big Data with Hadoop and Solr, Second Edition. Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr

Hrishikesh Vijay Karambelkar

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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.
  • 1. Processing big data using Hadoop and MapReduce
  • 2. Understanding Solr
  • 3. Enabling Distributed Search using Solr
  • 4. Using Hadoop to build your big data indexing
  • 5. Improving Performance of Search with scaling big data
  • 6. Appendix A: Use cases and Case Studies
  • Titel:Scaling Big Data with Hadoop and Solr, Second Edition. Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
  • Autor:Hrishikesh Vijay Karambelkar
  • Originaler Titel:Scaling Big Data with Hadoop and Solr, Second Edition. Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
  • ISBN:9781783553402, 9781783553402
  • Veröffentlichungsdatum:2015-04-27
  • Format:E-Book - EPUB
  • Artikel-ID: e_3ceo
  • Verleger: Packt Publishing
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