Szczegóły ebooka

Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics

Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics

Abhishek Andhavarapu

Ebook
Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source
search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently.
You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data.
Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
  • 1. Introduction to Elasticsearch
  • 2. Setting up Elasticsearch and Kibana
  • 3. Modeling your data and Document Relations
  • 4. Indexing an Updating your data
  • 5. Organizing your data and bulk data ingestion
  • 6. All about search
  • 7. More than a search engine (Geofilters, Autocomplete and more)
  • 8. How to slice and dice your data using aggregations
  • 9. Production and Beyond
  • 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph and Alerting)
  • Tytuł: Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
  • Autor: Abhishek Andhavarapu
  • Tytuł oryginału: Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
  • ISBN: 9781787129917, 9781787129917
  • Data wydania: 2017-06-30
  • Format: Ebook
  • Identyfikator pozycji: e_15m4
  • Wydawca: Packt Publishing