What you'll learn

Working with semi-structured data in relational databases can be complex, so analysts and developers need practical ways to query flexible fields, extract nested values, and integrate them with traditional tables efficiently using PostgreSQL’s powerful data types.

In this course, Query Semi-structured Data with SQL in PostgreSQL, you’ll gain the ability to query, transform, and integrate complex data types directly within SQL.

First, you’ll explore how to work with JSON and JSONB data, using key operators and functions to extract values, filter nested structures, and integrate JSON fields with relational data.

Next, you’ll discover how to define, query, and manipulate array columns, transforming multi-valued data into meaningful insights through filtering, expansion, and aggregation techniques.

Finally, you’ll learn how to use PostgreSQL’s specialized data types to model real-world domains and compare hybrid design strategies for analytical workloads.

When you’re finished with this course, you’ll have the skills and knowledge of querying and analyzing semi-structured data in PostgreSQL needed to create powerful, flexible, and efficient SQL solutions that bridge the gap between relational and document-style data.