If you’ve worked on a data team, you’ve likely encountered situations where multiple teams define metrics in slightly different ways, leaving you to untangle why discrepancies exist. The root cause of these metric deviations often stems from rapid data utilization without prioritizing long-term maintainability. Imagine this common scenario: a company hires its first data professional, who writes an ad-hoc SQL query to compute a metric. Over time, multiple teams build their own datasets us...| www.startdataengineering.com
If you are trying to improve your data engineering skills or are the sole data person in your company, it can be hard to know how well your technical skills are developing. Questions like Am I building pipelines the right way? How do I measure up to DEs at bigger tech companies? How do I get feedback on my pipeline design? It can cause a lot of uncertainty in career development! Imagine if you know that your code is on par (or even better than) with pipelines at tech-forward companies and tha...| www.startdataengineering.com
Unclear what a data warehouse is or when to use one? Then this post is for you. In this post, we go over what a data warehouse is, the need for it, and the differences between using an OLTP and OLAP database as a data warehouse.| www.startdataengineering.com