Back in the 1970s, the ANSI SPARC three-tiered model arose, foreshadowing a smooth intertwining of data and architectural design. The three tiers concept isolated the physical storage needs of data ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

In today’s data-driven business landscape, the ability to transform raw information into actionable insights is crucial. Microsoft Power BI has emerged as a leading tool in this domain, using ...

Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

It has been widely documented - data is growing at astronomical rates. The amount of data your organization has is less important than how the data is being used. Is data growth hindering your ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...

Students must have completed COMP_SCI 214 & (COMP_SCI 213 or COMP_ENG 205), or be CS Grad students (MS or PhD) in order to register for this course. Data models and database design. Modeling the real ...