In this #taro-bookclub discussion, we'll dive into the #1 book for Data Engineering: Fundamentals of Data Engineering. Come for the ML applications, stay for the Data Modelling :)
From Amazon: "Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle."
Topic: Chapter 1: Data Engineering Described
Here's the agenda:
Please send your questions ahead of time to Gideon Blinick in the Taro Premium Slack, so that they can be included in the discussion.
If you don't have a Taro Premium membership, you can get it at a discount with Gideon's special link here: https://www.jointaro.com/r/gideonb701/