Course details

Elasticsearch Data Management

Elasticsearch Data Management


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
In this course, you'll learn about Elasticsearch's data management capabilities, as well as how to use Elasticsearch indexes, shards, and filters to manage data.

Target Audience
IT architects and developers

Prerequisites
None

Expected Duration (hours)
1.2

Lesson Objectives

Elasticsearch Data Management

  • start the course
  • list Elasticsearch components and indexing documents using REST and API
  • demonstrate how to index datasets and conduct search activities using Elasticsearch
  • describe how Elasticsearch scaling and sharding work internally
  • work with the scalability features of Elasticsearch and manage multinode startup
  • list and describe the common tasks in sorting and pagination of search results
  • implement autocomplete suggestions for users
  • list and classify the types of aggregations available in Elasticsearch
  • configure and work with metrics and bucket aggregation in Elasticsearch
  • describe the concept of relationship management and limitations in Elasticsearch
  • describe the scripting language and query API in Elasticsearch
  • demonstrate a scripting model use case, including preindex with query API
  • classify the principles and guidelines of improving search performance in Elasticsearch
  • implement filtering using Elasticsearch in various scenarios
  • Course Number:
    os_doek_a03_it_enus

    Expertise Level
    Intermediate