August 2025
Intermediate to advanced
124 pages
3h 7m
English
Content preview from The Rise of Logical Data Management
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Chapter 1. The Challenges of Managing Data
In the whirlwind of the 2020s, marked by unprecedented challenges and technological leaps, the quest to master data remains more critical than ever. With the rise of transformative technologies like generative AI, the urgency for organizations to effectively manage and utilize data has intensified. Data, and lots of it, is at the heart of everything. Yet despite modern advances, distributed data continues to be a major challenge. The ability to provide actionable insights to decision makers, crucial for navigating complex scenarios and driving success, hinges on the proficiency of data management.
Enter logical data management—a strategic approach designed to meet this need head-on, guiding organizations in the art of transforming data into a language that resonates with its users swiftly and accurately. It’s not just about managing data; it’s about empowering data to be a decisive tool for achieving customer satisfaction, operational excellence, and innovative breakthroughs. And it’s not about replacing solutions like cloud platforms, cloud data warehouses, or data lakehouses; it’s about augmenting their capabilities in powerful new ways.
But before we dive into logical data management, let’s review the challenges of managing data in today’s landscape through the eyes of data analysts, who need to gather and translate it into actionable insights for your business. This data can come from anywhere in the organization and occasionally ...
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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.