Data Warehousing on AWS
Learn how to design a cloud-based data warehousing solution using Amazon Redshift
Unlock the power of cloud-based data warehousing with the Data Warehousing on AWS course. This course equips you with the skills to design, implement, and optimize a robust data warehousing solution using Amazon Redshift. Explore Redshift's architecture, best practices, and integration with AWS services. Learn about data ingestion, transformation, SQL analysis, disaster recovery, performance tuning, security, and access management. Dive into the potential of data sharing, workflow orchestration with Step Functions, and machine learning with Redshift ML.
What you'll learn
- Describe Amazon Redshift architecture and its roles in a modern data architecture
- Design and implement a data warehouse in the cloud using Amazon Redshift
- Identify and load data into an Amazon Redshift data warehouse from a variety of sources
- Analyze data using SQL QEV2 notebooks
- Design and implement a disaster recovery strategy for an Amazon Redshift data warehouse
- And more
Who should take this course
- Data engineers
- Data architects
- Database architects
- Database administrators
- Data developers
What experience you'll need
We recommend that attendees of this course have completed the following courses:
- Fundamentals of Analytics on AWS – Part 1 (Digital course)
- Fundamentals of Analytics on AWS – Part 2 (Digital course)
- Building Data Lakes on AWS (Instructor led Training)
- Building Data Analytics Solutions Using Amazon Redshift (Instructor led Training)
Course overview
Level: Advanced
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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