Building Data Products

Part II. Building Data Products

A Note for Early Release Readers

With Early Release ebooks, you get books in their earliest form—the author’s raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles.

This will be Part 2 of the final book. Please note that the GitHub repo will be made active later on.

If you’d like to be actively involved in reviewing and commenting on this draft, please reach out to the editor at [e-mail].

With the vocabulary and mental model in place, it is time to build. Bring your LEGO bricks out! This part takes you from your first working data product to a fully architected, integrated, and metadata-rich ecosystem. Each chapter adds a layer: first you get something running, then you make it robust, then you weave it into the organization, and finally you put metadata to work so your products can observe, measure, and govern themselves.

Chapter 4, “Building Your First Data Product” introduces the three personas who will guide you through the rest of the book: Cindy the data engineer, Juliette the data scientist, and Beth the data product owner. It walks through a step-by-step build organized by experience plane, covers tool selection across open source and commercial options, and explains the sidecar: the component you build once and reuse for every data product that follows.

Chapter 5, “Architecting Data Products” digs into what makes a data product “active” rather ...