EDA is a software development method for building applications that asynchronously communicate or integrate with other applications and systems via
Topic: Stream Processing
This big data technology lets users query a continuous data stream and detect conditions — within a few milliseconds to minutes — after receiving that data (i.e. flow of events); processing data in motion, or computing on data directly as it’s produced or received.
Developers and businesses need a scalable platform to host event-driven Kafka
As we continue the COVID-19 vaccination effort across the globe and plan for future pandemics, we need to ensure that advanced technologies for streaming …
In this week's real-time analytics news: Red Hat made multiple announcements about new Linux and OpenShift products, as well as enhancements to existing …
In this week's real-time analytics news: Several AI educational efforts launch, NVIDIA intros new tools for data scientists, and several offerings that address …
Organizations that opt to build their own EDA will face numerous challenges related to integration, deployment, performance, scalability, security, and more.
Businesses must accommodate streaming analytics to support the dynamic workflows demanded in the era of continuous intelligence.
Technical and cultural obstacles that prevented more widespread use of real-time systems and applications are disappearing, thus making them more
FinServs can address latency issues by putting data closer to the application or customer. In this way, data is served faster.
In this week's real-time analytics news: Multiple IBM partnerships with end-user companies to speed digital transformation and