Vijay Karambelkar Scaling Apache Solr

Optimize your searches using high-performance enterprise search repositories with Apache Solr
1. Auflage 2025
ISBN: 978-1-78398-175-5
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 298 Seiten

Key FeaturesBook DescriptionThis book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.What you will learn - Gain a complete understanding of Apache Solr and its ecosystem
- Develop scalable, highperformance search applications using Apache Solr
- Customize ApacheSolrbased search for different requirements
- Discover different techniques to build highspeed enterprise searches
- Design enterpriseready search engines and implement a scalable enterprise search functionality
- Integrate an ApacheSolrbased search with different subsystems and legacy systems
- Scale Apache Solr through sharding, replication, and fault tolerance
- Learn about performance tuning for your Solrbased application while scaling your data
- Make your enterprise search cloudready to be able to work with multiple clients
Who this book is for

Autoren/Hrsg.

Vijay Karambelkar, Hrishikesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

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.