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Scaling big data with Hadoop and Solr understand design build and optimize your big data search engine with Hadoop and Apache Solr Second Edition by Hrishikesh Vijay Karambelkar ISBN 1783553405 9781783553402

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Scaling big data with Hadoop and Solr understand design build and optimize your big data search engine with Hadoop and Apache Solr Second Edition Karambelkar Digital Instant Download

Author(s): Karambelkar, Hrishikesh Vijay
ISBN(s): 9781783553402, 1783553405
Edition: Second edition
File Details: PDF, 5.82 MB
Year: 2015
Language: english
SKU: EB-11793554 Category: Tags: ,

Scaling big data with Hadoop and Solr understand design build and optimize your big data search engine with Hadoop and Apache Solr Second Edition by Hrishikesh Vijay Karambelkar – Ebook PDF Instant Download/Delivery: 1783553405, 9781783553402

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Product details:

ISBN 10: 1783553405

ISBN 13: 9781783553402 

Author: Hrishikesh Vijay Karambelkar

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.

Who is this book for?

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.

What you will learn

  • Understand Apache Hadoop, its ecosystem, and Apache Solr
  • Explore industrybased 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 realworld big data problems
  • Work with Hadoop and Solr using realworld examples to benefit from their practical usage
  • Use Apache Solr as a NoSQL database

Table of contents:

Chapter 1. Processing Big Data Using Hadoop and MapReduce
1.1 Apache Hadoop’s Ecosystem
1.2 Configuring Apache Hadoop
1.3 Running Hadoop
1.4 Setting Up a Hadoop Cluster
1.5 Common Problems and Their Solutions
1.6 Summary

Chapter 2. Understanding Apache Solr
2.1 Setting Up Apache Solr
2.2 The Apache Solr Architecture
2.3 Configuring Solr
2.4 Loading Data in Apache Solr
2.5 Querying for Information in Solr
2.6 Summary

Chapter 3. Enabling Distributed Search Using Apache Solr
3.1 Understanding Distributed Search
3.2 Working with SolrCloud
3.3 Sharding Algorithm and Fault Tolerance
3.4 Apache Solr and Big Data: Integration with MongoDB
3.5 Summary

Chapter 4. Big Data Search Using Hadoop and Its Ecosystem
4.1 Understanding NoSQL
4.2 Working with the Solr HDFS Connector
4.3 Big Data Search Using Katta
4.4 Using Solr Patch 1045: Map-Side Indexing
4.5 Using Solr Patch 1301: Reduce-Side Indexing
4.6 Distributed Search Using Apache Blur
4.7 Apache Solr and Cassandra
4.8 Scaling Solr Through Storm
4.9 Advanced Analytics with Solr
4.10 Summary

Chapter 5. Scaling Search Performance

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Tags: Hrishikesh Vijay Karambelkar, Scaling Big Data, Hadoop, Solr, Big Data Search Engine, Apache Solr