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 ...
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 ...
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The data and AI platform developer is now marketing its new Zerobus Ingest software as an alternative to legacy message-based software for real-time and near-real-time data movement. Databricks is ...
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 ...
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 ...
MongoDB announced that Atlas Stream Processing is now in public preview, allowing developers the flexibility and ease of use of the document model alongside the Query API. With Atlas Stream Processing ...
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 ...
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 ...
SAN FRANCISCO, May 31, 2024 /PRNewswire/ --Today, Ockam teamed up with Redpanda to launch Redpanda Connect with Ockam: the first zero-trust streaming data platform. This is a natural partnership ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations prepare, manage, and move their data. AI-ready data platforms, vector databases ...