Overview
Often considered a "new" approach, logical data management has actually been in development for more than 20 years. This methodology enables anyone to access virtually any kind of data in real time, no matter where it is or how it's formatted. With this concise yet in-depth guide, business leaders and senior technologists will learn exactly how logical data management works.
You'll learn how to use this methodology to address a variety of use cases, including AI, data democratization, customer experience, GRC initiatives, and IT infrastructure modernization. Most organizations use traditional data management solutions that rely on physically copying data from multiple repositories and loading it into a large central repository. This book shows you a better way.
If you have a basic understanding of high-level data concepts such as extract, transform, and load (ETL) processes, data warehouses, data lakes, and cloud computing, you'll learn how "logical" data management solutions differ from traditional solutions.
- Discover what logical data management is and how it works
- Learn what logical data management can do for real-world business scenarios
- Utilize logical data management to solve a variety of use cases
- Evaluate different data management approaches
- Gain a better understanding of data's role in business
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