World-class Data Engineering with Amazon Redshift – Training

Our Amazon Redshift training classes cover strategies and best practices for designing a data platform using Amazon Redshift. The concepts we cover focus on cluster stability, engineering productivity, and query/dashboard speeds. The sessions have hands-on demos and individual coaching, arming you with the right tools and knowledge critical to be more productive with your data. You will also connect with other data engineers who are facing the same challenges as you are.

Why this Training?

When it comes to Redshift, there’s an elephant in the room. Everyone is struggling. Redshift is incredibly powerful, but it can also be painful to work with. Success is more guesswork than evidence-based, and you can spend a lot of time fighting fires. This Amazon Redshift training program fixes that. The concepts of this training will help you establish better control of the platform, so you can spend more time being creative with your data.

What Will I Learn in this Amazon Redshift Training?

The class includes hands-on activities, for your own cluster, focused on teaching you how to process a massive volume of queries in short time. You will also learn how to discover and prevent problems with your cluster and run blazing fast dashboards for your data consumers.

There is ample time during the class for questions and discussion. The training also includes:

  • Pre-training briefing survey with each individual participant, and
  • Post-training Redshift support & WLM (workload management) advice for two weeks via Slack

Who are the Instructors?

The Intermix team has people who have years of experience working with Amazon Redshift. We have professionals who have worked on technology that drives Redshift, from the ground up. Our team members hold patents for performance analytics and cloud computing, in addition to holding patents for enhancing data throughput for data warehouses.

Note: The video starts at 5:43

Let’s Get Started

Hungry for more knowledge? Head over to the Intermix blog for in-depth articles on best practices for ETL and data engineering. Learn fine-tuning tips for short-query acceleration, things to avoid when setting up your Redshift cluster, and a whole lot more.

We will see you at the training!

Mark Smallcombe

Mark Smallcombe

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