Kafka is used for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Saving all of your data in a data warehouse and analyzing it using a ...

“I think it changes in some sense what KSQL is, from being kind of a streaming engine, almost like a SQL dialect for using Kafka streams, to something more general — a kind of event streaming database ...

Many tasks drive the use of big-data technologies in video ... Please check this document for more details. Apache Kafka is a distributed streaming platform that provides a system for publishing ...

“We’re going all-in on GCP and using that as a foundational platform to build our data mesh ... Early streaming implementations were built and managed internally with Apache Kafka, but with ...

In this tech brief, we discuss how organizations can use Quest SharePlex to efficiently replicate data from Oracle databases into Kafka for real-time streaming.

a Kafka-compatible streaming data solution. Confluent plans to use WarpStream’s cloud-native solution to fill out its portfolio by offering a new service (Confluent WarpStream) that can sit in ...

With KSQL, you can write any kind of stream processing operation using a completely interactive SQL interface." Narkhede notes however that KSQL is built on top of Kafka's Streams API itself ...

By building a continuous ETL pipeline using Kafka, Spark Streaming, and HDFS, Uber can convert the raw unstructured event data into structured data as it is collected, making it ready for further ...

Life happens as a continuous flow of events (a stream). Ted Dunning and Ellen Friedman describe new designs for streaming data architecture that help you get real-time insights and greatly improve ...

This migration has been continuously revised since Kafka 3.4. Administrators who continue to use ZooKeeper are encouraged to migrate to Kafka 3.9 before upgrading to Kafka 4.0. In addition ...