Learn about the properties and characteristics of common data types including strings, numerics and arrays and how to retrieve information about your database.

Welcome!

Text data types

Getting information about your database

Determining data types

Date and time data types

Properties of date and time data types

Interval data types

Working with ARRAYs

Accessing data in an ARRAY

Searching an ARRAY with ANY

Searching an ARRAY with @>

Overview of Common Data Types

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.

Overview of basic arithmetic operators

Adding and subtracting date and time values

INTERVAL arithmetic

Calculating the expected return date

Functions for retrieving current date/time

Current timestamp functions

Working with the current date and time

Manipulating the current date and time

Extracting and transforming date/ time data

Using EXTRACT

Using DATE_TRUNC

Putting it all together

Working with DATE/TIME Functions and Operators

Learn how to manipulate string and text data by transforming case, parsing and truncating text and extracting substrings from larger strings.

Reformatting string and character data

Concatenating strings

Changing the case of string data

Replacing string data

Parsing string and character data

Determining the length of strings

Truncating strings

Extracting substrings from text data

Combining functions for string manipulation

Truncating and padding string data

Padding

The TRIM function

Parsing and Manipulating Text

An introduction into some more advanced capabilities of PostgreSQL like full-text search and extensions. 

Introduction to full-text search

A review of the LIKE operator

What is a tsvector?

Basic full-text search

Extending PostgreSQL

User-defined data types

Getting info about user-defined data types

User-defined functions in Sakila

Intro to PostgreSQL extensions

Enabling extensions

Measuring similarity between two strings

Levenshtein distance examples

Wrap Up

Full-text Search and PostgresSQL Extensions

Sakila database

Course Glossary

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.

The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.

Data Manipulation in SQL

Learn how to use built-in PostgreSQL functions in your SQL queries to manipulate different types of data like strings, character, numeric and date/time.

Functions for Manipulating Data in PostgreSQL

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

Associate Data Analyst in SQL

SQL Fundamentals

Measuring similarity between two strings

Functions for Manipulating Data in PostgreSQL

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