When it comes to selecting data-layer technologies to build out your application architecture, open source Apache Cassandra, Apache Kafka, Apache Spark, and Elasticsearch continue to rise in ...

Apache Kafka continues to be the rock-solid, open-source, go-to choice for distributed streaming applications, whether you’re adding something like Apache Storm or Apache Spark for processing or ...

It wasn’t long before Kafka was being paired up with stream processing engines, such as Apache Samza (also developed by Kreps team at LinkedIn), to actually work upon the data as it comes streaming in ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration ...

WOODCLIFF LAKE, N.J. , May 12, 2016 /PRNewswire/ — Syncsort, a global leader in Big Data software, today announced new capabilities, including native integration with Apache Spark and Apache Kafka, ...

The first offering, Northguard, is a new log storage system engineered for scalability, high throughput and operational ...

Spark and Kafka are involved in processing, analyzing and transporting this data. As steaming applications, data science and machine learning have taken off, so have Spark and Kafka.

Kafka’s SQL interface for interrogating multiple streams allowed him to untangle the mess of ADS-B returns and generate a meaningful feed of aircraft.

Apache Spark is hailed as being Hadoop's successor, claiming its throne as the hottest Big Data platform. What the founding fathers of Spark are saying and doing about its future and its ...