Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

DataCamp

Functions for Manipulating Data in PostgreSQL

via DataCamp

Overview

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

This course will provide you an understanding of how to use built-in PostgreSQL functions in your SQL queries to manipulate different types of data including strings, character, numeric and date/time. We'll travel back to a time where Blockbuster video stores were on every corner and if you wanted to
watch a movie, you actually had to leave your house to rent a DVD! You'll also get an introduction into the robust full-text search capabilities which provides a powerful tool for indexing and matching keywords in a PostgreSQL document. And finally, you'll learn how to extend these features by using PostgreSQL extensions.

Syllabus

  • Overview of Common Data Types
    • Learn about the properties and characteristics of common data types including strings, numerics and arrays and how to retrieve information about your database.
  • Working with DATE/TIME Functions and Operators
    • Explore how to manipulate and query date and time objects including how to use the current timestamp in your queries, extract subfields from existing date and time fields and what to expect when you perform date and time arithmetic.
  • Parsing and Manipulating Text
    • Learn how to manipulate string and text data by transforming case, parsing and truncating text and extracting substrings from larger strings.
  • Full-text Search and PostgresSQL Extensions
    • An introduction into some more advanced capabilities of PostgreSQL like full-text search and extensions.

Taught by

Brian Piccolo

Reviews

4.4 rating at DataCamp based on 49 ratings

Start your review of Functions for Manipulating Data in PostgreSQL

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.