Apache Kafka, the open source distributed messaging system, has steadily carved a foothold as the de facto real-time standard for brokering messages in scale out environments. Confluent, the ...

Kafka is used for high-performance data ... Saving all of your data in a data warehouse and analyzing it using a nightly batch process is no longer sufficient to monitor and manage a business ...

Confluent Inc. today announced new features in its cloud service that make it easier for users of its Apache Kafka ... processing with Apache Flink, an open-source, unified stream-processing and ...

By building a continuous ETL pipeline using Kafka, Spark Streaming ... more businesses are beginning to expand beyond batch-processing methods to build new data products using Spark Streaming. We can ...

This can also be labelled as event stream processing ... as Apache Kafka. Stream processors are needed to support developers in writing applications to act on the incoming data for use cases ...

On Confluent Cloud for Apache Flink ®, snapshot queries combine batch and stream processing to enable AI ... teams often have to use separate tools and develop manual workarounds, resulting ...

Organizations using Kafka as a core part of their internal ... “Most enterprises have used ad hoc integrations or batch processing that takes a lot of time. Kafka makes it a lot less expensive ...

DataStax has opened up ‘early access’ to its DataStax Change Data Capture (CDC) Connector for Apache Kafka, the open source stream-processing (where applications can use multiple computational ...