The Rise Of Distributed Data Centers In The AI Era

For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...
Computerworld

Hive: Large-scale, distributed data processing

Suppose you want to run regular statistical analyses on your Web site’s traffic log data — several hundred terabytes, updated weekly. (Don’t laugh. This is not unheard of for popular Web sites.) ...
InfoQ

Location, Location, Location: MVA Considerations for Distributed Processing and Data

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
VentureBeat

The end of centralized data? Samsung teams with Expanso on distributed processing

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today, Samsung Next, the venture capital arm of Samsung Electronics, ...
InfoQ

AWS Introduces Step Functions Distributed Map for Large-Scale Parallel Data Processing

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
GeekWire

Expanso, a distributed data processing startup led by Google and Microsoft vets, raises $7.5M

Seattle startup Expanso raised a $7.5 million seed round co-led by General Catalyst and Hetz Ventures to fuel growth of its software that provides data infrastructure capabilities at the “edge.” ...
dbta

Hazelcast Launches New Distributed Processing Engine Solution

Hazelcast, a provider of an open source in-memory data grid (IMDG) platform, is unveiling Hazelcast Jet, a new platform that gives users a distributed processing engine for big data streams. With ...
InfoWorld

Materialize offers early release of its streaming database as a service

The startup's managed, distributed database service is designed to run queries against real-time data in a more cost-efficient manner than batch processing systems. New York-based startup Materialize ...