9781783553396
Scaling Big Data with Hadoop and Solr Second Edition
by: Hrishikesh Vijay Karambelkar
ISBN-10: 1783553391
ISBN-13: 9781783553396
Edition 版次: 2nd Revised ed.
Publication Date 出版日期: 2015-03-31
Print Length 页数: 156
Book Description
By finelybook
Together,Apache Hadoop and Apache Solr help organizations resolve the problem of information extraction from big data by providing excellent distributed faceted search capabilities.
This book will help you learn everything you need to know to build a distributed enterprise search platform as well as optimize this search to a greater extent,resulting in the maximum utilization of available resources. Starting with the basics of Apache Hadoop and Solr,the book covers advanced topics of optimizing search with some interesting real-world use cases and sample Java code.
This is a step-by-step guide that will teach you how to build a high performance enterprise search while scaling data with Hadoop and Solr in an effortless manner.
Contents
1: PROCESSING BIG DATA USING HADOOP AND MAPREDUCE
2: UNDERSTANDING APACHE SOLR
3: ENABLING DISTRIBUTED SEARCH USING APACHE SOLR
4: BIG DATA SEARCH USING HADOOP AND ITS ECOSYSTEM
5: SCALING SEARCH PERFORMANCE
What You Will Learn
Understand Apache Hadoop,its ecosystem,and Apache Solr
Explore industry-based architectures by designing a big data enterprise search with their applicability and benefits
Integrate Apache Solr with big data technologies such as Cassandra to enable better scalability and high availability for big data
Optimize the performance of your big data search platform with scaling data
Write MapReduce tasks to index your data
Configure your Hadoop instance to handle real-world big data problems
Work with Hadoop and Solr using real-world examples to benefit from their practical usage
Use Apache Solr as a NoSQL database
Authors
Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar is an enterprise architect who has been developing a blend of technical and entrepreneurial experience for more than 14 years. His core expertise lies in working on multiple subjects,which include big data,enterprise search,semantic web,link data analysis,analytics,and he also enjoys architecting solutions for the next generation of product development for IT organizations. He spends most of his time at work,solving challenging problems faced by the software industry. Currently,he is working as the Director of Data Capabilities at The Digital Group.
In the past,Hrishikesh has worked in the domain of graph databases; some of his work has been published at international conferences,such as VLDB,ICDE,and others. He has also written Scaling Apache Solr,published by Packt Publishing. He enjoys travelling,trekking,and taking pictures of birds living in the dense forests of India. He can be reached at http://hrishikesh.karambelkar.co.in/.
