learning path

Analyzing your data with Amazon Redshift

Understand the capabilities and features of Amazon Redshift, a fast, fully-managed, petabyte-scale data warehouse in AWS

Difficulty: Intermediate

Duration: Up to 4 hours and 38 minutes

Students: 788

Rating: 5/5

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Content overview

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Content overview

11 steps

There are 7 Courses in this learning path

There is 1 Hands-on Lab in this learning path

There are 3 Exams in this learning path

Difficulty: Beginner. Duration: 1m 49s.

COURSE

Beginner

Duration: 1 minute and 49 seconds

Analyzing your Data with Amazon Redshift

This lesson introduces the Analyzing your Data with Amazon Redshift course.

Difficulty: Beginner. Duration: .

COURSE

Beginner

Introduction to Amazon Redshift

Learn about the fastest and most widely used cloud data warehouse provided by AWS, Amazon Redshift.

Difficulty: Beginner. Duration: Up to 1h 45m.

HANDS-ON LAB

Beginner

Duration: Up to 1 hour and 45 minutes

Getting Started with Amazon Redshift

Learn how to use the Amazon Redshift service. Create a cluster with a database, copy data from S3, query data using SQL, and resize the cluster.

Difficulty: Intermediate. Duration: 22m 32s.

COURSE

Intermediate

Duration: 22 minutes and 32 seconds

Loading Data into Amazon Redshift

This lesson covers how to load your data efficiently using the COPY command in Amazon Redshift.

Difficulty: Intermediate. Duration: 16m 28s.

COURSE

Intermediate

Duration: 16 minutes and 28 seconds

Amazon Redshift Distribution Styles

This lesson explains how Amazon Redshift distributes table data, how keys are used inside tables, and the importance of distribution styles.

Duration: Up to 25m.

EXAM

Duration: Up to 25 minutes

Knowledge Check: Amazon Redshift Distribution Styles

Difficulty: Intermediate. Duration: 10m 33s.

COURSE

Intermediate

Duration: 10 minutes and 33 seconds

Amazon Redshift Concurrency Scaling

This lesson covers Amazon Redshift's Concurrency Scaling feature, which adds query processing power to a cluster for specific users or queues as needed.

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