Vijay Karambelkar Scaling Big Data with Hadoop and Solr, Second Edition

Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
1. Auflage 2025
ISBN: 978-1-78355-340-2
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 166 Seiten

Key FeaturesBook DescriptionThis 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
Who this book is forThis 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.

Autoren/Hrsg.

Vijay Karambelkar, Hrishikesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Über Autor(innen)

Vijay Karambelkar Hrishikesh :

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.