Data Management at Scale

Chapter 11. Conclusion

Future-generation enterprise data landscapes will be organized in completely new ways. Data, as you’ve learned throughout this book, will be much more distributed in the years to come—and so will data ownership. Enterprises will continue to be forced to leave their comfort zone of managing enterprise data models.

The Scaled Architecture introduced in this book is a big deal. It’s innovative and goes beyond the traditional way of thinking. It features a universal integration architecture that comes with many modern patterns to facilitate the ever-widening range of data consumers’ needs. The metadata models and principles provided in this book are designed to enable you to achieve consistency in the way your data is distributed and integrated. The three integration architectures target different integration needs, and the metadata holds everything together.

The governance and security aspects of the Scaled Architecture make it sustainable and future-proof. The coming years will see a paradigm shift for organizations that place data at the heart of their business. This movement will be supported by another trend: a shift away from application-based ownership approaches and toward data-based ownership approaches. This requires a new governance and different target operating models, such as DataOps and MLOps, and a different mindset, including product thinking.¹ It also requires the worlds of application integration, software architecture, and data management ...