Executing Full Text Queries with Elasticsearch (Coursera)

Additionally, you will gain hands-on experience using Elasticsearch's search API to execute queries and retrieve search results.

Syllabus

WEEK 1
Introduction to Elasticsearch
This module is designed to provide an introduction to Elasticsearch, a powerful search and analytics engine widely used for data exploration, log analysis, and real-time search applications. In this module, you will learn the basics of Elasticsearch, including how to install and configure the software, index data, and create mappings. You will also explore the different types of data that can be indexed in Elasticsearch, such as text, numerical, and geospatial data. Additionally, you will gain a basic understanding of Elasticsearch's architecture, including its distributed nature and its use of sharding and replication to ensure high availability and fault tolerance.

WEEK 2
Search Based Query Optimisation
This module is designed to teach you how to optimize search-based queries in Elasticsearch for improved performance and relevance. You will start by learning how to use Elasticsearch's Explain API to understand how queries are executed and identify potential bottlenecks. You will then explore different techniques for improving query performance, such as using filters instead of queries, limiting the number of fields returned, and caching query results.

WEEK 3
Advanced Querying Mechanism in Elasticsearch
This module is designed to teach you advanced query mechanisms in Elasticsearch, enabling you to build complex queries that deliver highly relevant results. You will start by learning about the different types of query mechanisms available in Elasticsearch, such as Boolean queries, fuzzy queries, and proximity queries. You will then explore advanced query mechanisms such as nested queries, script queries, and join queries. Additionally, you will learn how to use Elasticsearch's search templates to build and reuse complex queries.