Sit back with your favorite snack -- It's a long one!
The data product we are building in the book is truly a "full stack" development experience. We start with an Excel file and end up with a totally automated serverless application. Yes, it looks like a lot of code, but most of it is replying the same basic patterns again and again.
Applications of data have grown well beyond the venerable business intelligence dashboards that organizations have relied on for decades. Now it is being used to power consumer facing services, influence organizational behaviors, and build sophisticated machine learning systems. Given this increased level of importance it has become necessary for everyone in the business to treat data as a product in the same way that software applications have driven the early 2000s. In this episode Brian McMillan shares his work on the book "Building Data Products" and how he is working to educate business users and data professionals about the combination of technical, economical, and business considerations that need to be blended for these projects to succeed.