Broadcast Date: November 15, 2018

Level: 300

As data grows in volume, analytical needs grow with it. Complex analytical workloads and unplanned periods of high analytical demand cause sluggish performance, while data admins and engineers struggle to scale their data warehouse and data lake infrastructure quickly. In this tech talk, AWS Solution Architect Tony Gibbs will talk about the most common customer pain points he hears on a day-to-day basis and how customers using Amazon Redshift are able to quickly scale up to match their analytical needs and data volume, and then scale back down when demand subsides to save cost.

Learning Objectives

  • Learn about the most common scalability pain points
  • Learn about Amazon Redshift's recently launched features that enable you to scale quickly
  • Learn how to get started with Amazon Redshift

Who Should Attend?

CIOs, DBAs, IT Decision Makers, Data Engineers


  • Tony Gibbs, Solutions Architect, AWS

Learn More

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