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Kafka wasn’t the first open source project I was involved in at LinkedIn. We’d also built a key-value store, a workflow system, and a number of other things. The biggest difference with Kafka was that ...

AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...

When the big data movement started it was mostly focused on batch processing. Distributed data storage and querying tools like MapReduce, Hive, and Pig were all designed to process data in batches ...

Confluent Inc. today announced new features in its cloud service that make it easier for users of its Apache Kafka-based streaming engine to store data in the Apache Iceberg table format. The new ...

The first step to sizing or scaling Kafka for optimal cost and performance is understanding how the data streaming platform uses resources. Here’s a primer. Teams implementing Apache Kafka, or ...

Apache Kafka startup Confluent Inc. today debuted a new infinite data retention feature within its Confluent Cloud platform that enables customers to store as much related information as they want.

Provectus, a Silicon Valley artificial intelligence (AI) consultancy, is releasing UI for Apache Kafka v0.2, with new features including support for switching read direction of topic messages, running ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. While getting to grips with open banking regulation, ...

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