In this session, we will talk about the role and practice of data modeling. First, there will be an introduction to the concept of data modeling, its history, and evolution over time. After the introduction, we will discuss some hypotheses to balance the “hotness” and “notness” of data modeling, as positive impacts can be improved data quality and increased efficiency, while negative impacts can be complexity and issues with scalability. Lastly, we will share and discuss thoughts and experiences on the topic, and hopefully by the end of the session, have some consensus on whether (and/or when) data modeling is hot or not.
No laptop needed.
