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

4. Process data in moderation The main goal of a data lake is to provide detailed source data for data exploration, discovery and analytics.

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) ...

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 ...

The logical architecture model for the self-serve platform is organized into three planes, for data infrastructure provisioning, data product developer experience, and data mesh supervision.

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.

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Vast Data is pioneering a smart new architecture that goes beyond advanced erasure codes to ensure storage reliability, low-cost, and high performance. Written by Robin Harris, Contributor ...

Data architecture, guidelines + industry standards: Health systems’ recipe for generating value from information assets Healthcare organizations are awash in data.

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