Advanced Elasticsearch 7.0 A Practical Guide to Designing, Indexing, and Querying Advanced Distributed Search Engines” authored by Wai-Tak Wong is an invaluable resource for anyone looking to master the advanced features of Elasticsearch 7.0, the popular open-source search and analytics engine. With Elasticsearch’s extensive capabilities for distributed search and data analysis, this book offers a comprehensive guide to designing, indexing, and querying search engines for a wide range of applications.
Here are some key points that make this book a must-read for those seeking to leverage Elasticsearch to its full potential:
- In-Depth Insights: “Advanced Elasticsearch 7.0” provides deep insights into the intricacies of Elasticsearch, enabling you to harness its powerful search and analytics capabilities.
- Practical Guidance: The book offers practical, real-world examples and guidance, making it easy to apply Elasticsearch’s advanced features in your projects.
- Design and Optimization: Learn how to design and optimize Elasticsearch indices for various use cases, ensuring efficient and high-performance searches.
- Advanced Querying: Explore advanced querying techniques to extract valuable insights from your data. Gain expertise in full-text search, aggregations, and more.
- Scaling and Distribution: Understand how to scale Elasticsearch for large datasets and distribute your data across clusters for enhanced performance and fault tolerance.
- Use Cases: The book covers a wide range of use cases, from e-commerce and logging to geographic information systems, making it applicable to diverse industries and applications.
Advanced Elasticsearch 7.0″ is a practical, hands-on guide for developers, administrators, and data engineers who want to take their Elasticsearch skills to the next level. With this book, you can effectively design, index, and query advanced distributed search engines, making Elasticsearch a powerful tool in your data management and analysis toolkit.
Download ebook: Advanced Elasticsearch 7. 0