Your Ultimate Guide to Redshift ETL: Best Practices, Advanced Tips, and Resources

Introduction

Amazon Redshift makes it easier to uncover transformative insights from big data. Analytical queries that once took hours can now run in seconds. Redshift allows businesses to make data-driven decisions faster, which in turn unlocks greater growth and success.

For a CTO, full-stack engineer, or systems architect, the question isn’t so much what is possible with Amazon Redshift, but how? How do you ensure optimal, consistent runtimes on analytical queries and reports? And how do you do that without taxing precious engineering time and resources?

MySQL to Redshift: 4 Ways to Replicate Your Data

MySQL is the most popular open source cloud database in the world, and for good reason. It’s powerful, flexible, and extremely reliable. Tens of thousands of companies use MySQL to power their web-based applications and services every day.

But when it comes to data analytics, it’s a different story. MySQL is quickly bogged down by even the smallest analytical queries, putting your entire application at risk of crashing. As one FlyData customer said to us, “I have nightmares about our MySQL production database going down.”