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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 ...
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 ...
The latest trends and issues around the use of open source software in the enterprise. This is a guest post for the Computer Weekly Open Source Inside blog written by by Ben Slater in his role as ...
Conduktor Inc., a startup that specializes in making the popular Apache Kafka data streaming platform easier to use, on Monday announced that it has closed a $20 million investment led by Accel.
Two types of offset When you start a consumer in the Kafka client, it will read the value of your ConsumerConfig.AUTO_OFFSET_RESET_CONFIG (auto.offset.reset) configuration. If that config is set to ...
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, announced the general availability of Confluent Platform for Apache Flink ® with added ...
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 ...
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