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 ...

Abstract: Adaptive batch sizing algorithm offers several advantages over static sizing in various real-world scenarios and use cases especially Streaming Data Processing. The data ingestion layer in ...

Unlike static data, data stream is transient and can usually be read only once. So, traditional NSP mining algorithm cannot be directly applied to data stream. Briefly, the key reasons are: (1) ...

A data streaming solution must account for speed, security, scaling and more if it’s to provide the productivity, service and information it’s designed to deliver.

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, today announced it was named a Leader by Forrester Research in The Forrester Wave™: Streaming ...

Confluent's announcement represents a significant step in its strategy to position data streaming as the foundation for enterprise AI development. By unifying batch and streaming processing, the ...

That’s as opposed to static, non-streaming setups where data is stored in a database and apps compute over it as needed, preventing the data from being processed concurrently.

AUSTIN, Texas, September 17, 2024--Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, today announced the Confluent OEM Program. The new program for managed service providers (MSPs), cloud ...