Description
Course Objective:
In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.
Prerequisite:
Students with a minimum one-year experience managing data warehouses will benefit from this course. We recommend that attendees of this course have:
- Completed either AWS Technical Essentials or Architecting on AWS
- Completed Building Data Lakes on AWS
Audience:
This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines
