Building Data Analytics Solutions Using Amazon Redshift (DTAE8025P001)

Description:

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.

Who Should Attend?

• Data warehouse engineers
• Data platform engineers
• Architects
• Operators who build and manage data analytics pipelines

Level:

Intermediate

Prerequisites:

• AWS Technical Essentials OR Architecting on AWS
• Building Data Lakes on AWS
• Students with a minimum of one-year experience managing data warehouses

Tuition:

$675.00

Credits:

0.7 CEU's

Class Type:

This course is currently being offered in the following training modalities:

• Online
  • Virtual Instructor-Led
    • Class Length: This class is listed as a 1-day course.

Learning Outcomes:

In this course, you will learn to:

• Compare the features and benefits of data warehouses, data lakes, and modern data architectures
• Design and implement a data warehouse analytics solution
• Identify and apply appropriate techniques, including compression, to optimize data storage
• Select and deploy appropriate options to ingest, transform, and store data
• Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
• Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
• Secure data at rest and in transit
• Monitor analytics workloads to identify and remediate problems
• Apply cost management best practices