July 2020
Intermediate to advanced
345 pages
10h 47m
English
Content preview from Data Management at Scale
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Preface
Social media, live streaming, and smartphones are just a few of the many ways digitization has changed all of our lives in recent years—and the pace is still accelerating, with digital transformations in music and television, shopping, and travel, among many other industries, while advancements in artificial intelligence and machine learning drive the growth of autonomous machines such as drones and self-driving cars.
What fuels this digital society? Data. During the 20th century, oil was the world’s most valuable resource. Today, data is the new oil. It’s only a matter of time until the growth of analytics pushes demand for data to levels we haven’t seen before.
As the amount of data generated skyrockets, so does its complexity. Trends like cloud, API management, microservices, open data, software-as-a-service (SaaS), and new software delivery models are on the rise, and countless new databases and analytical applications have been released over the last few years.
The sheer number of new approaches to data is fragmenting the digital landscape. We see more point-to-point interfaces, endless discussions about data quality and ownership, and plenty of ethical and legal dilemmas regarding privacy, safety, and security. Agility, long-term stability, and clear data governance compete with the need to develop new business cases swiftly. Our industry sorely needs a clear vision for the future of data management and integration.
This book’s perspective on data management and ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.