Résumé
With this practical book, you'll learn how to migrate your enterprise from a complex and tightly coupled data landscape to a new data management architecture that's more flexible, distributed, and scalable. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speedThe amount of data generated is growing tremendously in size and complexity. As trends in data management and integration, such as cloud, API management, microservices, open data, software as a service (SaaS), and new software delivery models, continue to evolve rapidly, data warehouses and data lakes are no longer scalable.
With this practical book, you'll learn how to migrate your enterprise from a complex and tightly coupled data landscape to a new data management architecture that's more flexible, distributed, and scalable. Ready for the modern world of data consumption, this architecture can be introduced incrementally without a large up-front investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed.
In three parts, this book helps you:
Examine data management trends and difficulties, including technological developments and regulatory and privacy requirements that puzzle enterprises
Go deep into this innovative new architecture and learn how the pieces fit together
Explore data governance and security, business intelligence, and analytics
Understand data management, self-service data marketplaces, and the importance of metadataPiethein Strengholt started with technologies at the age of 13 and never stopped learning. Very young, he started creating websites, started programming and had his own hosting company. Piethein's passion for technology has since lasted and helped him in his career as a consultant and later as a senior manager at a big consultancy firm.
Three years ago, he switched to ABN AMRO to be assigned with the responsibility to deliver a vision and strategy for the topics 'Cloud, Data Management, Data Integration, Data Warehousing, Business Intelligence, Big Data & Analytics'. The success and fun he has is immense and really keeps his passion for technology trends alive.