Elasticsearch is a Lucene-based distributed search engine at the heart of the Elastic Stack that allows you to index and search unstructured content with petabytes of data. With this updated fifth edition, you'll cover comprehensive recipes relating to what's new in Elasticsearch 8.x and see how to create and run complex queries and analytics.

The recipes will guide you through performing index mapping, aggregation, working with queries, and scripting using Elasticsearch. You'll focus on numerous solutions and quick techniques for performing both common and uncommon tasks such as deploying Elasticsearch nodes, using the ingest module, working with X-Pack, and creating different visualizations. As you advance, you'll learn how to manage various clusters, restore data, and install Kibana to monitor a cluster and extend it using a variety of plugins. Furthermore, you'll understand how to integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch and create efficient data applications powered by enhanced functionalities and custom plugins.

By the end of this Elasticsearch cookbook, you'll have gained in-depth knowledge of implementing the Elasticsearch architecture and be able to manage, search, and store data efficiently and effectively using Elasticsearch.

Osoby które kupowały "Elasticsearch 8.x Cookbook - Fifth Edition", wybierały także:

• Biologika Sukcesji Pokoleniowej. Sezon 3. Konflikty na terytorium 127,27 zÅ‚, (14,00 zÅ‚ -89%)
• Windows Media Center. Domowe centrum rozrywki 66,67 zÅ‚, (8,00 zÅ‚ -88%)
• PodrÄ™cznik startupu. Budowa wielkiej firmy krok po kroku 93,33 zÅ‚, (14,00 zÅ‚ -85%)
• Ruby on Rails. Ćwiczenia 18,75 zÅ‚, (3,00 zÅ‚ -84%)
• Scrum. O zwinnym zarz 77,78 zÅ‚, (14,00 zÅ‚ -82%)

Spis treści

Elasticsearch 8.x Cookbook. Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise - Fifth Edition eBook -- spis treści

• 1. Getting Started
• 2. Managing Mapping
• 3. Basic Operations
• 4. Exploring Search Capabilities
• 5. Text and Numeric Queries
• 6. Relationships and Geo Queries
• 7. Aggregations
• 8. Scripting in Elasticsearch
• 9. Managing Clusters
• 10. Backups and Restoring Data
• 11. User Interfaces
• 12. Using the Ingest Module
• 13. Java Integration
• 14. Scala Integration
• 15. Python Integration
• 16. Plugin Development
• 17. Big Data Integration
• 18. X-Pack