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.

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 ...

ArchDaily had the chance to interview Miller and find out his point of view on how programming and data science can help in improving architecture ... of how to use Python for various ...

Conventionally, the steps in the data management architecture typically include enterprise data extraction from operational data repositories and storing them in a raw data lake. The next step is ...

The failure to fully leverage data is a recurring tax to every arm of the organization. Mired in supportive tasks and complex architecture, the true cost is innovation. This is why a company's ...

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 ...

Enterprise data architecture enables healthcare organizations to leverage data fully Organizations that are successful in using data have a plan for handling information across the enterprise ...