Stream processing is a data management technique that involves ingesting a continuous data stream to quickly analyze, filter, transform or enhance the data in real time. Once processed, the data is ...

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.

All digital processes and tasks, no matter what they are intended to achieve, are a series of activities where data is received, created, updated, modified and then sent on its way. In today’s digital ...

Organizations that are expanding their traditional infrastructure in the face of big data challenges should consider assembling a big data stack architecture using purpose-built software products and ...

Founder of IQLECT and author of BangDB, a converged NoSQL database platform. Passionate about data and AI. A subtle but palpable trend has been taking place the last few years in the way data is being ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...

Jan Popkin has been a pioneer in developing technologies and setting standards for both process modeling and enterprise architecture. Chief strategist at Telelogic (which acquired Popkin Software last ...

Learn how data sovereignty, local AI and hybrid architecture can help enterprises govern sensitive workloads, control costs ...