Modern data architecture is a no-brainer for new businesses. It is revolutionary in scaling and maintaining adaptability in ...

In a modern data architecture, silos are broken down, and information is cleansed and validated to ensure that it is accurate and complete. In essence, enterprises must adopt a complete and ...

One approach revolves around a modern data architecture that makes it possible to apply purpose-built analytics and AI tools to the metadata repository. This centralized approach can improve ...

As AI adoption continues to accelerate, many organizations now face the challenge of extending their existing data infrastructure to support the unique demands of AI applications. This means ...

Much of IT architecture is still based on ... They have become absolutely untenable in the modern age of web-scale systems and data omnipresence. Lots of applications use lots of different stove ...

From incorporating the modern data stack to defining IT's role ... that will help teams determine and build the data architecture that’s right for them as well as for their entire organizations.

Are you ready to take full advantage of modern data architectures? Getting started with modern data architecture often starts with moving some or all your data from on-premises to the cloud. The cloud ...

According to David Mariani, founder and CTO of semantic layer platform AtScale, six principles form the foundation of modern data architecture: According to Data Management Book of Knowledge ...

Many businesses are now turning to a modern edge architecture that seamlessly integrates in their stack and way of working, ...