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 ...

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 ...

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 ...

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 ...

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 ...

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...

DataPelago says its new technology provides a data processing boost for advanced analytics and AI applications that require huge volumes of complex, structured and unstructured data. Startup ...