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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 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.
This course includes presentations, group exercises, and hands-on labs.
In this course, you will learn to:
This course is intended for:
We recommend that attendees of this course have:
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Module 1: Introduction to Data Warehousing
Module 2: Introduction to Amazon Redshift
Module 3: Launching clusters
Module 4: Designing the database schema
Module 5: Identifying data sources
Module 6: Loading data
Module 7: Writing queries and tuning for performance
Module 8: Amazon Redshift Spectrum
Module 9: Maintaining clusters
Module 10: Analyzing and visualizing data