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.
In this course, you will learn to:
Students with a minimum one-year experience managing data warehouses will benefit from this course. We recommend that attendees of this course have:
This course is intended for:
This course includes presentations, demonstrations, interactive demos, practice labs, discussions, and class exercises.
Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Using Amazon Redshift in the Data Analytics Pipeline
Module 2: Introduction to Amazon Redshift
Module 3: Ingestion and Storage
Module 4: Processing and Optimizing Data
Module 5: Security and Monitoring of Amazon Redshift Clusters
Module 6: Designing Data Warehouse Analytics Solutions
Module B: Developing Modern Data Architectures on AWS