At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...
Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.
NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost, scalability, ...
The Common Data Model, which Microsoft describes as "an out-of-box business database for storing and managing business entities," is at the center of its PowerApps service for building custom business ...
While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...
In 2016, when Microsoft announced its makeover of its CRM and ERP strategy in the form of Dynamics 365, officials started talking up the Common Data Model (CDM), which was the heart of those services.
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
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