Data management at Scale : best practices for enterprise architecture As data management and integration continue to evolve rapidly storing all your data in one place such as a data warehouse is no longer scalable. In the very near future data will need to be distributed and available for several technological solutions. With this practical book youll learn how to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives data architects analytics teams and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled architecture which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints principles observations best practices and patterns to get you up to speed. 1. The disruption of data management 2. Introducing the scaled architecture: organizing data at Scale 3. Managing vast amounts of data : the read only data stores architecture 4. Services and API management : the API architecture 5. Event and response management : the streaming architecture 6. Connecting the dots 7. Sustainable data governance and data security 8. Turning data into value 9. Mastering enterprise data assets 10. Democratizing data with metadata 11. Conclusion.