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21 April 2021
Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This 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, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data.
Data analysts and scientists
This course is delivered through a mix of:
Instructor-Led Training (ILT)
This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.
We recommend that attendees of this course have the following prerequisites:
Courses taken: AWS Technical Essentials (or equivalent experience with AWS)
Familiarity with relational databases and database design concepts
Introduction to Data Warehousing
Introduction to Amazon Redshift
Understanding Amazon Redshift Components and Resources
Launching an Amazon Redshift Cluster
Choosing a Data Warehousing Approach
Identifying Data Sources and Requirements
Architecting the Data Warehouse
Loading Data into the Data Warehouse
Optimizing Queries and Tuning Performance
Monitoring and Auditing the Data Warehouse
Maintaining the Data Warehouse
Analyzing and Visualizing Data
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