Elasticsearch Data Management

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