Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...

The terms “real-time data” and “streaming data” are the latest catch phrases being bandied about by almost every data vendor and company. Everyone wants the world to know that they have access to and ...

SAN MATEO, Calif., Sept. 26, 2019 (GLOBE NEWSWIRE) -- Rockset, the serverless search and analytics company that enables SQL on NoSQL data, today announced the capability to analyze raw events from ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kenneth Harris, a NASA veteran who worked on ...

The exponential growth in data-generating events—spurred by an increasingly digital world—requires businesses to evolve their strategies to properly store, process, leverage, and monetize their data.

Streaming data platform Kafka uses a “publish-and-subscribe” model that links data sources to data receivers to enable constant and distributed monitoring. Written by eWEEK content and product ...

Running real-time analytics is becoming increasingly critical across various industries, but organizations need high-concurrency and low-latency query processing for maximum efficiency. That’s what ...

Today’s analytical requirements are putting unprecedented pressures on existing data infrastructures. Performing real-time analytics across operational and stored data is typically critical to success ...

Confluent shares rose sharply Wednesday after investors learned the data-streaming company is weighing a possible sale. The ...

The red-hot market for real-time analytics in the cloud just got another entrant with StarRocks Inc.’s announcement today of a cloud-native version of its SQL online analytics processing database ...