August 2025
Intermediate to advanced
124 pages
3h 7m
English
Content preview from The Rise of Logical Data Management
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Chapter 10. The Future of Logical Data Management
As time progresses, your company will continue to need data; however, your future data needs will come with additional challenges. Larger and more complex data sources, advancing technologies, and changes in business needs are just a few of the reasons traditional data management processes will no longer suffice. Your company needs a data management strategy that is both flexible and resilient to handle the challenges of future data demands. This chapter examines how logical data management provides that foundation. As discussed throughout this book, logical data management provides the following benefits:
- A seamless data ecosystem
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Your business is a complex tapestry of diverse, interwoven parts. To gain insights on its performance overall, you need to see how all these parts work together as a cohesive whole. The future of logical data management will utilize advances in data virtualization, semantic layers, and real-time processing to remove these divisions and grant you insights with greater speed and accuracy. Data mesh, data fabric, and any future technology will work together to empower data domains to take ownership of data while enabling centralized governance and data consistency.
- AI-driven integration and insights
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It’s no secret that AI is drastically altering the business landscape, but what future impacts might AI have on data and logical data management? Sophisticated and more complex AI models will vastly improve ...
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