There are a couple others, but they are either micro-batch ... processing operation using a completely interactive SQL interface." Narkhede notes however that KSQL is built on top of Kafka's ...

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 ...

Since Kreps wrote his story about the Kappa architecture, we’ve seen stream processing technology evolve very, very quickly. First, Apache Kafka has emerged ... that developers can use the same tools ...

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 ...

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 ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing ... have already created for Apache Kafka® clusters. Teams can use CCN to securely connect their ...

Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...

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 ...

(Nasdaq: CFLT), the data streaming pioneer, announced new Confluent Cloud capabilities that make it easier to process and ...