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 ...

By definition, a DIH creates a low-latency data access layer across multiple systems of records. Therefore, it inherently creates a separation between data read workloads (queries) and ...

As long as you keep the data layer thin and don't let implementation details leak into other layers, then I agree with the YAGNI approach. Build something simple and specific.

Through a data access layer in the form of a proxy, Heimdall Data Inc. has partnered with Amazon Web Services Inc. to take this pain point away by enhancing the interaction and visibility of an ...

Open a data connection to the database you’re wrapping. Select each table you want to use and drag it to the design surface. Build the data access layer project.

A universal semantic layer unifies the organization’s business logic, acting as a single source of truth. It makes it easier to deliver consistent and accurate data to every data experience the ...

I would go with #1 and then switch to #3 when you have time to properly evaluate an general purpose ORM / Data Access Block that works well. Click to expand... Thank you so much for your insight.

Hasura, the data API and GraphQL leader, is debuting a series of enhancements designed to support the process of connecting large language models (LLMs) to highly diverse enterprise data. With new ...

Neurelo, Inc., the Cloud Data API innovator, is emerging from stealth to debut its data access platform designed to solve the layer of issues that exist between the developer-built software and its ...

Unlike other methods of securing data at the storage layer, this approach doesn’t involve third parties, encryption keys, or delays accessing data. Use Cases The applicability of this amalgamation of ...