Learn everything you need to know to manage data as a product and shift toward a more modular and decentralized socio-technical data architecture to deliver business value in an incremental, measurable, and sustainable way
Leverage data-as-product to unlock the modular platform potential and fix flaws in traditional monolithic architectures
Learn how to identify, implement, and operate data products throughout their life cycle
Design and execute a forward-thinking strategy to turn your data products into organizational assets
Purchase of the print or Kindle book includes a free PDF eBook
What you will learn
Overcome the challenges in scaling monolithic data platforms, including cognitive load, tech debt, and maintenance costs
Discover the benefits of adopting a data-as-a-product approach for scalability and sustainability
Navigate the complete data product lifecycle, from inception to decommissioning
Automate data product lifecycle management using a self-serve platform
Implement an incremental, value-driven strategy for transitioning to data-product-centric architectures
Optimize data modeling in distributed environments to enhance GenAI-based use cases
If you’re an experienced data engineer, data leader, architect, or practitioner committed to reimagining your data architecture and designing one that enables your organization to get the most value from your data in a sustainable and scalable way, this book is for you. Whether you’re a staff engineer, product manager, or a software engineering leader or executive, you’ll find this book useful. Familiarity with basic data engineering principles and practices is assumed.