Preface

With the growth of information assets in enterprises, the need to build a rich, scalable search application that can handle a lot of data has becomes critical. Today, Apache Solr is one of the most widely adapted, scalable, feature-rich, and best performing open source search application servers. Similarly, Apache Hadoop is one of the most popular Big Data platforms and is widely preferred by many organizations to store and process large datasets.

Scaling Big Data with Hadoop and Solr, Second Edition is intended to help its readers build a high performance Big Data enterprise search engine with the help of Hadoop and Solr. This starts with a basic understanding of Hadoop and Solr, and gradually develops into building an efficient, scalable enterprise search repository for Big Data, using various techniques throughout the practical chapters.

Tech Concepts

Programming languages

Tech Tools

Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

50+ new titles added per month and exclusive early access to books as they are being written.

Scaling Big Data with Hadoop and Solr, Second Edition

By : Vijay Karambelkar

Scaling Big Data with Hadoop and Solr, Second Edition

By: Vijay Karambelkar

Overview of this book

Preface

Scaling Big Data with Hadoop and Solr, Second Edition

By : Vijay Karambelkar

Scaling Big Data with Hadoop and Solr, Second Edition

By: Vijay Karambelkar

Overview of this book

Preface

Confirmation

Buy this book with your credits?

Submit Your Feedback

Create a Free Account To Continue Reading

Sign in to activate your 7-day free access