Today, the way companies are leveraging data has changed. The world has moved from static stores held in databases to adding dynamic and event-driven data in flight. The driver of this dynamic is ...
In the fast-evolving world of data engineering, two methods of data analysis have emerged as the dominant, yet competing, approaches: batch processing and stream processing. Batch processing, a ...
A funny thing happened while the tech world was focused almost exclusively on ChatGPT over the past eight months: Adoption of other cutting-edge technologies kept growing. One of those is real-time ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
Data streaming solutions are a powerful tool for industries that depend on real-time data processing, from fintech companies managing transactions to e-commerce platforms providing personalized ...
Cloud-native streaming database startup RisingWave Labs Ltd. said today it has closed on a $36 million round of funding that brings its total amount raised to date to more than $40 million. Today’s ...
Datorios, a developer of real-time technology for Apache Flink, is announcing the immediate availability of the Datorios data observability platform—the solution that lets you build, troubleshoot, and ...
Real-time data processing is hot. Pioneers like Netflix have been doing it for years and reaping the benefits. Big on Data has been onto this for years, too. Now the rest of the world seems to be ...
On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This InfoQ Trends Report offers readers a ...
Real-time streaming data has become a reality for an increasing number of enterprise applications. From the “internet of things” to artificial intelligence, from mobile analytics to a diverse range of ...
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