Data streaming is powering the modern world, enabling businesses to connect their applications, systems, and software-as-a-service (SaaS) layers in real-time to meet today’s challenges head-on. Armed ...
GA release accelerates production streaming pipelines with real-time CRUD synchronization, reusable data flows, ...
Nstream is launching a new platform today that extends the reach of real-time streaming data to software applications, enabling them to respond instantaneously to any change in state. Nstream, ...
Confluent, a leader in data streaming and steward of the open-source Apache Kafka system, recently announced its new "Data Streaming for AI" initiative to aid organizations in developing real-time AI ...
New initiative will expand Confluent’s partnerships and product capabilities to help companies build real-time AI innovations with data streams. Confluent, the data streaming pioneer, has announced ...
Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data runs business. We’ve been told this now immutable ...
Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...
AlgoX2, a distributed data streaming infrastructure platform building a solution for throughput-critical applications, today announced it has raised $3.5 million in seed funding. The round was led by ...
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 Data ...
Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.
Since the early 2000s, ultra-wideband (UWB) technology has gradually found its way into a variety of commercial applications that require secure and fine-ranging capabilities. Well-known examples are ...
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