Data Virtualization in the Cloud Era

Data virtualization had been held back by complexity for decades until recent advances in cloud technology, data lakes, networking hardware, and machine learning transformed the dream into reality. It's becoming increasingly practical to access data through an interface that hides low-level details about where it's stored, how it's organized, and which systems are needed to manipulate or process it. You can combine and query data from anywhere and leave the complex details behind.

In this practical book, authors Dr. Daniel Abadi and Andrew Mott discuss in detail what data virtualization is and the trends in technology that are making data virtualization increasingly useful. With this book, data engineers, data architects, and data scientists will explore the architecture of modern data virtualization systems and learn how these systems differ from one another at technical and practical levels.

By the end of the book, you'll understand:

• The architecture of data virtualization systems
• Technical and practical ways that data virtualization systems differ from one another
• Where data virtualization fits into modern data mesh and data fabric paradigms
• Modern best practices and case study use cases