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 ...

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 ...

Therefore, data architecture and enterprise architecture are linked in ... potential impact of change with erwin Enterprise Architecture Assess your competency level of your capabilities for ...

AI-driven automation offers businesses a powerful solution to streamline operations, boost efficiency and reduce manual ...

companies need to look at their data architecture. At the simplest level, a data architecture is about knowing where the organisation’s data is, and mapping how data flows through it.

The easiest way to think about an open data architecture is that it’s the opposite of a vendor-locked-in, closed-system environment. A system designed with open data architectural principles supports ...

Data architecture, however, spans the organization and takes a high-level, holistic view, whereas data modeling focuses on specific systems or business cases. In any case, the architecture or ...

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 ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and ...

The U.S. Army is currently working to implement its Unified Data Reference Architecture ... of the most significant contract awards, top-level executive moves, M&A activities and financial ...