Course Description

Redshift is an Amazon Web Services (AWS) data warehouse service that stores and analyses large amounts of data in the cloud. Over the last decade, the use of Redshift has grown dramatically, as has the demand for experts who can effectively design, implement and manage Redshift clusters. This course teaches you the fundamentals of AWS Redshift. We start by explaining why data warehouses are so important to enterprise organizations and how Redshift provides immediate value. We then lay out the differences between a traditional enterprise data warehouse and Amazon Redshift.

This data management course explores the Amazon Redshift Enterprise application's column-oriented file system structures and database options, which include ETL, data transformation, data mining, data lakes and business intelligence. We describe AWS Redshift Enterprise’s best practices for cloud security, networking and identity and access management (IAM). We also go over other critical components and features like the query editor, optimizer and Redshift Spectrum, as well as the schemas and structures, SQL options and monitoring options. Finally, we explain how to select the best node and cluster deployment options that help your organisation to meet its data management needs by using Redshift.

This course is for anyone who wants to work for Amazon and is studying for an AWS exam. We focus on Redshift and show you how to get started with this popular data warehouse. The course also suits anyone who wants to migrate their data to the cloud. We also examine other AWS services and explain how they can be combined with Redshift to provide a comprehensive data management solution. Enroll today to acquire the training you need to work for Amazon and learn how Redshift’s data warehouse services can be used to store and analyze data securely in the cloud.

What you'll learn in this course?

• Technology

• Data Analysis

• Cloud Computing

• AWS

• Amazon

• Data Mining

• Data Management