Skip to main content

Home Data Engineering

Course

Introduction to Redshift

IntermediateSkill Level

4.8+

Updated 12/2024

Master Amazon Redshift's SQL, data management, optimization, and security.

Start Course for Free

RedshiftData Engineering4 hr14 videos45 Exercises3,500 XP3,780Statement of Accomplishment

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies

Training 2 or more people?

Try DataCamp for Business

Course Description

Uncover the foundations of Amazon Redshift and its integration within the AWS cloud ecosystem, along with its position among competitors.

Mastering Redshift SQL Constructs

Dive deep into Redshift SQL constructs, including common table expressions, date-time handling, and advanced analytics queries, empowering efficient data manipulation.

Efficient Data Management and Optimization

Explore data management techniques in Redshift, from creating tables to distributing and sorting data, along with optimizing queries for enhanced performance.

Enhancing Security and Advanced Capabilities

Delve into Redshift's security features and advanced capabilities, including leveraging external schemas for raw data files and extracting insights from semi-structured data like JSON.

Commanding SQL on Redshift

Develop a strong command of SQL on Redshift, enabling effective utilization and maximizing its potential within your data ecosystem.

Prerequisites

Data Manipulation in SQL

1

Redshift, a data warehouse

Meet Redshift, a robust columnar data warehouse. We'll explore how columnar and typical data warehouses differ, what makes Redshift unique, how it fits into the AWS and data warehouse ecosystems, and what data types it supports.

Meet Redshift, a columnar database

Columnar or Row-Based

Find what schema a table is in

Learning about Redshift data types and features

Experimenting with compatible types

Redshift types

Explicitly converting types

Inside the Redshift warehouse

Node types and responsibilities

Leader specific functions

2

SQL on Redshift

Let's learn about some nuances with Redshift SQL syntax, a close cousin of PostgreSQL's syntax. We compare CTEs and subqueries before moving into mastering date and time, exploring window queries, and wrapping up learning how transactions affect some functions.

Using CTEs with Redshift

Filtering with CTEs

CTE Concepts

Date and time functions

Truncating dates

Extracting date parts

Find future dates

Windowing in Redshift

Windowing to the max

Comparing periods with lag

Transactions

Transaction structure

Consistent dates in a transaction

3

Tables and working with semi-structured data

We'll explore how to create tables, the impact DISTKEY and SORTKEYs have on performance, external schemas/tables with Spectrum and wrap up with handling semi-structured data like JSON with Redshift.

Tables in Redshift

Creating a table and setting properties

Learning more about a table's columns

External Schemas, File, and Table Formats

Table formats vs file types

Identifying internal and external schemas

Finding the internal or external tables

Semistructured data

Extracting top level JSON keys

Extracting nested JSON keys

4

Optimization and Security

It is time to peak into the world of writing optimized queries and tools available to help optimize. Then, we turn our attention to Redshift security capabilities and how they can impact query output.

Writing optimal queries

DISTKEY and SORTKEY

Optimized GROUP BY and ORDER BY

Understanding query performance

Evaluating filter performance

EXPLAINing query behavior

Redshift security

Checking for column-level security

Checking for row-level security

Identifying dynamic data masking

Congratulations

Introduction to Redshift

Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance reviewEnroll Now

Don’t just take our word for it

*4.8

from 97 reviews

87%

13%

0%

0%

0%

Sort by

Charlie

4 days ago

Napaporn

last week

Collins

3 weeks ago

Mitchell

4 weeks ago

Timothy

6 weeks ago

Cassandra

last month

Charlie

Napaporn

Collins

FAQs

What SQL knowledge do I need before taking this Redshift course?

You should be comfortable with data manipulation in SQL, intermediate SQL concepts, basic SQL, and joining data. Four SQL prerequisite courses are listed.

Does this course cover working with JSON data in Redshift?

Yes. Chapter 3 teaches you how to handle semi-structured data like JSON, including extracting information from JSON columns within Redshift tables.

What makes Redshift different from a traditional relational database?

Redshift is a columnar data warehouse designed for analytical queries on large datasets. The course explains how columnar storage differs from row-based databases and why it matters for performance.

Does the course cover query optimization and security?

Yes. Chapter 4 focuses on writing optimized queries, using performance tuning tools, and implementing Redshift security capabilities that can affect query output.

What are DISTKEY and SORTKEY, and will I learn to use them?

They are table design features that control how data is distributed and ordered across Redshift nodes. Chapter 3 explains their impact on query performance and how to set them.

Join over 19 million learners and start Introduction to Redshift today!

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.