In recent years, data modeling has seen something of a renaissance within the data landscape. Transformation (as it’s also referred to) is on everyone’s lips, and powerful solutions like dbt, in combination with leading ingestion tools like Snowplow, have unlocked the power of transforming data to thousands of organizations. Data practitioners spend a lot of time thinking about how best to model their data, the best tools to use and the talent to hire to perform key transformations.

Read on to learn what’s driving this new wave of enthusiasm for data modeling, and why is it such an important part of the modern data stack.