As real-time data becomes essential to deliver on an AI strategy, organizations will increasingly treat it as a product. The ...

In today’s fast-paced digital world, real-time data processing systems are the unsung heroes powering our everyday ...

By combining the strengths of Apache Kafka and Kubernetes, Sudheer Vankayala explores a transformative approach to real-time ...

Asynchronous processing in identity management is crucial for both enterprises with legacy systems and cloud-native solutions ...

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 demonstrated success in reducing data inconsistencies, improving operational efficiency, and protecting revenue streams ...

We look at what IT leaders can do to help untangle the numerous structured and unstructured data sources that exist in a ...

GridGain®, provider of the leading real-time data processing and analytics platform, today announced GridGain for AI, which enables organizations to use GridGain as a low-latency data store for ...

Sai Manish Podduturi's research, the comprehensive approach to system design and implementation represents a significant ...

The contribution by Rameshbabu Lakshmanasamy no doubt changed the face of centralized data management, raising the bar to a ...