Data Warehousing on AWS
Learn how to design a cloud-based data warehousing solution using Amazon Redshift
In this course, you'll learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. The course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon Simple Storage Service (Amazon S3). You'll also explore how to use business intelligence (BI) tools to perform analysis on your data.
What you'll learn
- Evaluate the relationship between Amazon Redshift and other Big Data systems
- Evaluate use cases for data warehousing workloads and review real-world implementation of AWS data and analytic services as part of a data warehousing solution
- Choose an appropriate Amazon Redshift node type and size for your data needsUnderstand which security features are appropriate for Amazon Redshift, such as encryption, IAM permissions, and database permissions
- And much more
Who should take this course
- Data architects
- Database administrators
- Database developers
- Data analysts
- Data scientists
What experience you'll need
- Familiarity with relational databases and database design concepts
Course overview
Level: Intermediate
Type: Classroom (virtual and in person)
Length: 3 days
Languages offered
Need more information?
Download the course outline for more information about what this course covers.
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