Topic: Stream Processing

This big data technology lets users query a continuous data stream and detect conditions — within a few milliseconds to minutes — after receiving that data (i.e. flow of events); processing data in motion, or computing on data directly as it’s produced or received. 

Streaming Analytics Basics: Kafka, Spark, and Cassandra

The Kafka-Spark-Cassandra pipeline has proved popular because Kafka scales easily to a big firehose of incoming events, to the order of 100,000/second and

Confluent Now Offers Apache Kafka as a Service with Confluent Cloud

Developers can focus on building streaming applications with Apache Kafka, while the Confluent team handles Kafka

Confluent: Apache Kafka Use Accelerates

52% of organizations have at least 6 systems running

Datawatch Adds Spark, Kafka Support With Panopticon

Update is designed to bring faster analytics to the trading, risk and compliance