The upgrade uses a "pull" model for sub-second updates, allowing more advanced trading logic and avoiding high gas costs.

Retailers know that useful data flows from every part of the enterprise. More and more often, though, they are turning to alternative sources from outside the organization, including geospatial and ...

Data lakes and data streams are becoming common analogies in the discussion around analytics and potential enterprise big data strategies. The analogies are appropriate from several aspects beyond ...

With the advent of real-time location systems (RTLS) in manufacturing, an unprecedented amount of data is being generated. But now, a new question arises: How do facility operators and operation ...

Chainlink, the blockchain data oracle provider, has launched “Data Streams,” a new product designed to reduce network latency. The offering has now entered early access on layer 2 platform Arbitrum, ...

Data lakes and data streams are two of the hottest data buzzwords du jour and as likely as any pair to spark an argument between data scientists backing one or the other. But what are they? A data ...

What is conspicuously absent from debates about AI? Any serious discussion about the operational data that AI agents need to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...