The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

But what if you want to take your skills and career to the next level and become a data architect? A data architect is responsible for creating the overall vision, strategy, and architecture of ...

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

For C-level leaders worldwide, the challenge lies in making sense of the AI disruption. Many are exploring use cases while struggling to align AI with broader business goals. The biggest ‘make or ...

In all, AI fabric architecture is the unsung hero powering next-level AI capabilities at organizations around the world. At its best, AI fabrics solve underlying organizational data issues ...

Those users are more concerned with the external and conceptual DBMS architecture levels. Databases are made up of tables that are joined together in numerous ways. Those tables contain rows of data ...

it should define the critical conditions for regime transitions and annotate unobtainable data. The article also emphasizes the importance of rearranging AI models into a multi-level architecture.