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 - Softcover
Inhaltsangabe
This book is a step-by-step tutorial that will enable you to leverage the flexible search functionality of Apache Solr together with the Big Data power of Apache Hadoop. Scaling Big Data with Hadoop and Solr provides guidance to developers who wish to build high-speed enterprise search platforms using Hadoop and Solr. This book is primarily aimed at Java programmers who wish to extend the Hadoop platform to make it run as an enterprise search without any prior knowledge of Apache Hadoop and Solr.
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Über die Autorin bzw. den Autor
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.
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Scaling Big Data with Hadoop and Solr
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Paperback. Zustand: Good. Bestandsnummer des Verkäufers mon0002769928