A logical data fabric seamlessly integrates data from all across the different systems in an organization. It carries very little if any of the source data: however, to do its work it stores the ...

The artistry in logical data models is to understand the business deeply enough to know when and where to apply abstraction, keeping objects within the used language and meanings of the organization.

Data is interesting, enlightening, and helpful, but don’t let it dominate the process. If we want to create work that stands out or stands the test of time, it needs to be both logical and ...

Assuming that the logical data model is complete, though, what must be done to implement a physical database? The first step is to create an initial physical data model by transforming the logical ...

Data modeling advantage: The vendor offers a robust modeling tool that delivers visualizations of physical, conceptual and logical data structures. The platform can generate SQL scripts, thus ...

Logical data management platforms can seamlessly integrate data from smart grids, Internet of Things (IoT) devices, and environmental sensors. This enables a unified view of the VPP, ...

Logical data management solutions are very different from traditional extract, transform, and load (ETL) systems, which copy data from a source system and store it as a duplicate.

Key Takeaways for Excel Data Analysis. Logical functions and Boolean logic are indispensable tools for simplifying and enhancing data analysis in Excel. By mastering these concepts, you can: ...

Logical Analysis of Data (LAD): A methodology that uses combinatorial and optimisation techniques to extract interpretable patterns and rules for data classification.