AWS-DBDWOA: Data Warehousing on AWS

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About this Course

In this course, you will learn new concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. You will learn 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 S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data.

Audience Profile

Database architects, Database administrators, Database developers, and Data analysts and scientists

At Course Completion


Lesson 1: Course Introduction
Lesson 2: Introduction to Data Warehousing
Lesson 3: Introduction to Amazon Redshift
Lesson 4: Understanding Amazon Redshift Components and Resources
Lesson 5: Launching an Amazon Redshift Cluster
Lesson 6: Reviewing Data Warehousing Approaches
Lesson 7: Identifying Data Sources and Requirements
Lesson 8: Designing the Data Warehouse
Lesson 9: Loading Data into the Data Warehouse
Lesson 10: Writing Queries and Tuning Performance
Lesson 11: Maintaining the Data Warehouse
Lesson 12: Analyzing and Visualizing Data
Lesson 13: Course Summary


AWS Technical Essentials, familiarity with relational databases and database design concepts