The demand on businesses to act instantaneously with the data has never been greater in the current digital first economy.

In addition, "the growth of edge computing has also enhanced real-time processing, particularly for IoT applications, while 5G technology's potential for lower latency and higher data handling ...

In today’s data-driven enterprises, dashboards are no longer just visual aids—they are the decision-making core. And at the intersection of massive datasets and intuitive design, one expert’s work ...

Experts joined DBTA's webinar, Top Trends in Data Engineering for 2025, to explore the new trends and best practices shaping the future of engineering, from AI-driven tools to real-time data ...

The bounding condition in deploying the Internet of Things (IoT) is not going to be the deployment of devices but rather the management and analysis of the data coming off those devices. If you ...

To capitalize on the data, enterprises need a platform that can support a new generation of real-time applications and insights. In fact, by 2025, it is estimated that 30% of all data will be real ...

Optimizing Data Pipelines: AI-driven workflows can adjust processes in real time to improve efficiency and reduce latency, ensuring data moves smoothly across the system. 3.

While data streaming engineers won’t necessarily sacrifice the technical skill of their predecessors, they now need to be able to understand data challenges in real-time and within the context ...

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research.. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...