Part 2: Managing the Data Product Lifecycle

In this part, we’ll explore how to manage a data product throughout its lifecycle. We’ll begin by examining how to identify the data products to develop, prioritize them using a business-case-driven approach, and design them based on collected requirements. We will then look at how to handle releases and data product management in a production environment by adapting common DevOps practices to the data context. Finally, we will explore how to automate data product lifecycle management through a self-serve platform, analyzing its core capabilities, architecture, and implementation options (make versus buy).

This part has the following chapters:

• Chapter 4, Identifying Data Products and Prioritizing Developments
• Chapter 5, Designing and Implementing Data Products
• Chapter 6, Operating Data Products in Production
• Chapter 7, Automating Data Product Lifecycle Management