In an era where data is a strategic asset, organizations often falter not because they lack data—but because their ...

Data marts: Organizations might also add data marts to their warehouse architecture — between the central database and end-users — to serve specific business lines.

Building a headless data architecture requires us to identify the work we’re already doing deep inside our data analytics plane, and shift it to the left. We take work that you’re already ...

Your messiest, most overlooked data could hold your most valuable insights. With LLMs and ETL, even dirty data is a goldmine.

4. Data architecture Data architecture refers to the design and structure of systems. This includes the design of databases, data warehouses, and data lakes. SEE: What Is Data Science? (TechRepublic) ...

On the other hand, when standards provide data and architecture guidance to development teams, then these standards should form a basis of how developers implement user stories.

The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- ...

This streamlines data estates, facilitates collaboration, enables the creation of generative AI (genAI) models that can access your data estate’s semantic meaning, and ensures everything is ...

With the rapid success of OpenAI's ChatGPT and other emerging types of AI solutions in the last several years, organizations have been scrambling to adopt artificial intelligence by 'any means ...

A data center manager should keep a constant eye on the power usage effectiveness (PUE) of their facility — total data center power divided by the energy used just for computing — to track how ...