Data mesh is quickly becoming a way for companies to roll out their data strategy. If you haven’t already learned about data mesh, I suggest doing so. It comes with organizational and technical changes. I think a crucial part of your data mesh revolves around the...
Data Teams are like Role Playing Games (RPG). If you’re not familiar with RPGs, there is a person or group of characters all working together for a common goal. A crucial part of the individual characters are their levels, skills, and stats. In many games, higher...
Data teams can be challenging. KPIs (Key Performance Indicators) are different from other teams. The team’s value creation and performance are distinct. I want to share some KPIs. Before embarking on this, you’ll want to create baseline numbers for all metrics. This...
During my interviews for another case study in Data Teams, I was introduced to a concept I teach but hadn’t heard so brilliantly stated. The case study was with Justin Coffey and François Jehl, who were both at Criteo. Justin introduced this concept of keeping...
By Jesse Anderson and Mikio Braun Organizations are gradually getting the message about the critical nature of data engineering. Data science teams are getting that message too. Sometimes, that message gets muddled, and data science teams think they just need to add a...
As a distributed systems person, I’m used to figuring out how to spread a problem out to the most number of computers possible. Spreading out a problem lets me leverage my resources far better and faster. However, we’re failing to apply this optimization...
