Amazon Redshift powers data analytics workloads at scale to drive business decisions. This course will teach you how to refine the use of Redshift by implementing monitoring and alerting and fine tuning the performance of your Redshift clusters.
Amazon Redshift is a tool that powers data workloads at massive scale, but to get the most out of it you’ll need to understand how to operationalize it for your organization. In this course, Monitoring, Alerts, and Performance Optimization in Amazon Redshift, you’ll learn to configure Redshift with critical monitoring and alerting while optimizing Redshift for performance and observability. First, you’ll explore performance monitoring and alerting with Redshift. Next, you’ll discover how to optimize Redshift performance with fundamental tools and settings like compression, partitioning, and other cluster tools. Finally, you’ll learn how to optimize Redshift with built-in tooling. When you’re finished with this course, you’ll have the skills and knowledge of Amazon Redshift needed to take your use of Redshift to the next level.
Amazon Redshift is a tool that powers data workloads at massive scale, but to get the most out of it you’ll need to understand how to operationalize it for your organization. In this course, Monitoring, Alerts, and Performance Optimization in Amazon Redshift, you’ll learn to configure Redshift with critical monitoring and alerting while optimizing Redshift for performance and observability. First, you’ll explore performance monitoring and alerting with Redshift. Next, you’ll discover how to optimize Redshift performance with fundamental tools and settings like compression, partitioning, and other cluster tools. Finally, you’ll learn how to optimize Redshift with built-in tooling. When you’re finished with this course, you’ll have the skills and knowledge of Amazon Redshift needed to take your use of Redshift to the next level.
