Test your AI knowledge

Lessons from a career of cleaning up data dumpster fires. Imagine building a beautiful lake house on a pristine lake with gorgeous mountains in the surrounding distance, and a clean beach front in a relaxing neighborhood. Then in a couple of years, you find cracks in your foundation, the water becomes polluted by chemical runoff, and your property value plummets. This is exactly what happens when you build a data lakehouse poorly. All initial attempts start out well. Users ar

Six patterns that make your Spark pipelines more reliable, portable, and easier to maintain I have worked as a Data Engineer for several years and have made my share of mistakes along the way. However, with experience, I have learned a few key tricks that really help you build reliable, clean, and reproducible code. This article focuses on a few powerful concepts that you should master as you build a career as a data engineer. 1. Know Your Platform Utilities: dbutils vs. no

Snowflake is building up steam in the online database world! Because of your experience with Postgres, you are more prepared for Snowflake than you might imagine. This session will cover many features unique to Snowflake, highlight commonalities Snowflake has with Postgres, and point out several differences between them. From this session, you will gain the knowledge and confidence to leverage your experience with Postgres to tackle Snowflake. For more information, click on t