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Pluralsight

Designing Schema for Elasticsearch

via Pluralsight

Overview

Improve search nuances by designing the right schema for your documents.

You can get better search results beyond the basic out-of-the-box search experience with Elasticsearch. In this course, Designing Schema for Elasticsearch, you will learn how to configure indexes to get more nuanced and meaningful search results. First, you will use dynamic and explicit mapping which allows you to specify field types within your document, which in turn determines how they are indexed and searched. Next, you will learn how you can map relationships and hierarchies from the traditional RDBMS world to the flat world of Elasticsearch. Finally, you will see Elasticsearch's special features, working with geospatial data such as GPS, and time-based data such as log files, and also aliasing indices to share them across multiple users for a better search experience. At the end of this course, you will have hands-on experience designing your Elasticsearch indexes and mappings to work well with different kinds of data, such as hierarchical, geospatial, or time-based data.

Syllabus

  • Course Overview 1min
  • Modeling Data in Elasticsearch 65mins
  • Managing Relational Content 43mins
  • Working with Geo-spatial Data 33mins
  • Designing for Scale 34mins

Taught by

Janani Ravi

Reviews

4.6 rating at Pluralsight based on 53 ratings

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