Overview
A central collection of information that can be examined and used to influence choices is called a data warehouse. Discover how to create state-of-the-art AWS data warehousing on AWS solutions to get the most out of your company data.
Using Amazon Redshift, the petabyte-scale data warehouse in AWS, to create a cloud-based data warehousing solution, this course on data warehousing on AWS exposes you to principles, tactics, and best practices. Using AWS services like Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, this data warehousing course shows how to gather, store, and prepare data for the data warehouse. This course shows you how to examine your data using Amazon QuickSight. You will gain knowledge of principles, tactics, and industry best practices for creating cloud-based data warehousing solutions in this course.
- Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions
- Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud
- Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution
- Architect the data warehouse
- Identify performance issues, optimize queries, and tune the database for better performance
- Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket
- Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse.
- Database Administrator
- Database Analyst
- Data Analyst
- Data Scientist
Required
Familiarity with relational databases and database design concepts