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.

Data API builder uses a JSON configuration file to store details of any APIs you build. Create this by defining the database type, along with a connection string. Be sure to use an account with ...

Microsoft today announced the general availability of the open source Data API builder (DAB), which provides REST and GraphQL endpoints for Azure databases, some three years in the making. The ...

While direct database access has advantages, it might not be the best option for complex data interactions, security or scenarios requiring access to multiple data sources. Because of this, API ...

Fauna combines support for semi-structured data with relational features such as foreign keys, views and joins. Its native serverless architecture means customers worry less about operations.

View data as a shared asset. A modern data architecture needs to eliminate departmental data silos and give all stakeholders a complete view of the company: 360 degrees of customer insights and ...

The design of a database, and how to determine the relationships between tables and organization of data, are monumentally difficult tasks that can be make or break any software development project.

Next Generation Command and Control (NGC2) is the Army’s new approach to develop a data-centric architecture for the commander to make more, faster, and better decisions, and ultimately reduce ...

HighByte®, an industrial software company, today announced the release of HighByte Intelligence Hub version 4.1 with Callable Pipelines, enabling user ...

Specialization: Software Architecture for Big Data Instructor: Tyson Gern and Mike Barinek Prior knowledge needed: Software engineering or big data experience View on Coursera Learning Outcomes Build ...

VAST Data introduced a new AI cloud architecture based on Nvidia's BlueField-3 DPU technology, improving performance, security, and efficiency for AI data services.