Getting business and IT on the same page during a project is key to an initiative's success -- and utilizing data models can help do just that. In this chapter from Data Modeling for the Business: A ...

Would you undertake a project just to do an enterprise level conceptual data model (ECDM) by Domain -- then leave it at the project level to do the logical and physical data modeling? Or would you do ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Data modeling is the process through which we ...

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.

Learn how modeling the NoSQL databases is different from the data modeling in Relational database space Understand the steps in a typical NoSQL data modeling process Deliverables and artifacts in ...

Most companies start with what’s often called the “swamp” stage: raw exported tables from whatever system produced them, ...

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 ...

As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and mul­tiplied. Instead of just ...