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 ...
Data streaming solutions are a powerful tool for industries that depend on real-time data processing, from fintech companies managing transactions to e-commerce platforms providing personalized ...
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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.
On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...
When it comes to running a successful business, gaining competitive advantage is everything. That said, pinpointing exactly what might give firms that ‘edge’ isn’t an exact science. It might be a new ...
Confluent CEO Jay Kreps argues that data stored in warehouses or lakehouses aren’t appropriate for the reliable and well-governed AI agents. Confluent CEO Jay Kreps took to the stage at the vendor’s ...
We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...
The de facto standard for real-time stream processing is sometimes described as being complex and difficult to learn. Start by understanding these core principles. In recent years, Apache Flink has ...
If you’ve ever checked online to see whether your local big box store has the item you need in stock or ordered a product you saw on social media straight through the app, you’re already aware of how ...
The developer community is “getting its feet under us” with data streaming, but the transition will require organisations to create well-managed data products, Confluent’s vice-president of developer ...