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 ...

But the industry is still seeking new alternatives. While solutions such as the data lakehouse typically leverage an open-source processing engine and a table format for data governance and ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

Big data platform startup dbt Labs Inc. said today it’s reinvigorating its flagship dbt Cloud offering with new enhancements and capabilities that it says will enable every employee to ...

They provide a seamless, unified layer over an organization’s data estate that makes data management quicker, easier, and more scalable. But as AI innovation continues to accelerate, more is needed.

While the architecture of a data warehouse can vary according to different organizational needs, most enterprises tend to follow a three-tier system with a bottom, middle and top layer.

Blockchain's design is divided into five layers. Hardware infrastructure layer This hardware layer securely stores blockchain data on a server. We access this data via the client-server architecture.

That’s why there is a massive pivot toward AI powered open lakehouse architectures. Built on open formats and interoperable engines, the open lakehouse architecture unifies structured and ...

Semantic Layer Implementation: The Key Challenges Organizations inevitably develop semantic layers when interacting with data, usually within BI platforms. As different parts of the organizations work ...

Soon, AIs will hold the entire business logic layer of a SaaS like Salesforce in memory. AI will only need access to the data. • Data Layer: The data layer is changing.

The customer's really always right. My take Don't underestimate the importance of Genie. It's a major upgrade to the data layer within the Salesforce platform, and a fundamental break with the ...