ETL and ELT are two of those terms that get used interchangeably in job descriptions and architecture documents, as if the letter order doesn't matter. It does. They represent genuinely different approaches to moving and transforming data, and picking the wrong one for your situation creates problems that compound over time.
Bad data leads to bad decisions. As data engineers, one of our most important jobs is ensuring data quality. Let's explore how to validate and maintain high-quality data!
Apache Airflow has become the go-to tool for orchestrating data workflows. If you've ever needed to run tasks in a specific order, on a schedule, with dependencies - Airflow is your friend!
Hey there! If you're stepping into the world of data engineering, you've probably heard the term "data pipeline" thrown around quite a bit. Let's break down what they are and why they're so important.