How to Select a Streaming Platform: A Practical Guide
With stream processing flipping the data processing paradigm from store then process to process then store, the critical capabilities to evaluate when building …
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.
With stream processing flipping the data processing paradigm from store then process to process then store, the critical capabilities to evaluate when building …
To fully participate in today’s data-in-motion world requires that a data streaming platform be part of every company’s
In this week's real-time analytics news: Confluent made a number of announcements at its Current 2023 conference.
Many businesses lack the expertise in Apache Kafka's use. If that's the case with your organization, here are some sources for Kafka training and
Here, we've collected the forward-looking thoughts of some of the leaders in the real-time analytics space participating in Current
In 2024, businesses will have an array of powerful streaming analytics solutions to choose from, each with its own unique features and capabilities.
Stream processing acts on the constant flow of real-time data allowing businesses to shift their operations toward real-time
Retailers are looking to stream processing to personalize offerings in real time, activate dynamic pricing, and more.
Stream processing is transforming how the most ambitious financial services companies serve customers and how they operate in complex, always-changing …
Gartner: Real-time stream processing is not the future. It's been underway for maybe as much as 20 years. However, we're only halfway through the revolution.