Scaling Big Data With Hadoop and Solr: Learn Exciting New Ways to Build Efficient, High Performance Enterprise Search Repositories for Big Data Using Hadoop and Solr - Brossura

Karambelkar, Hrishikesh

Brossura

ISBN 10: 1783281375 ISBN 13: 9781783281374

Casa editrice: Packt Pub Ltd, 2013

Riassunto

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.

Scaling Big Data with Hadoop and Solr starts by teaching you the basics of Big Data technologies including Hadoop and its ecosystem and Apache Solr. It explains the different approaches of scaling Big Data with Hadoop and Solr, with discussion regarding the applicability, benefits, and drawbacks of each approach. It then walks readers through how sharding and indexing can be performed on Big Data followed by the performance optimization of Big Data search. Finally, it covers some real-world use cases for Big Data scaling.

With this book, you will learn everything you need to know to build a distributed enterprise search platform as well as how to optimize this search to a greater extent resulting in maximum utilization of available resources.

Su questo libro

L'autore

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 architecting new solutions for the next generation of a product line for his organization. He has published various research papers in the domains of graph searches in databases at various international conferences in the past. On a technical note, Hrishikesh has worked on many challenging problems in the industry involving Apache Hadoop and Solr.

Dettagli dell?edizione

• Editore: Packt Pub Ltd
• Data di pubblicazione: 2013
• ISBN 10: 1783281375
• ISBN 13: 9781783281374
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 128