Rockset Bridges Divide Between SQL and Kafka
While real-time analytics is clearly on the rise, no one should expect the need for batch-oriented data warehouses to decline any time soon.
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.
Getting Started with Stream Processing
In this technical webinar, sponsored by Hazelcast, Java Champion Ben Evans provides an introduction to stream processing as well as an overview of core …
The Evolution of Stream Processing and Top Use Cases
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java …
Information Builders Bets on Kafka for Real-Time Analytics
Industry pioneer embraces open framework for feeding big R-T data into AI models and apps.
Streamlio Heads to the Cloud With New Version of Apache Pulsar Fast-Data Platform
The new cloud-native service will initially run on top of Amazon Web Services
Hortonworks Provides Needed Visibility in Apache Kafka
As Apache Kafka-driven projects become more complex, Hortonworks aims to simplify it with its new Streams Messaging Manager
Arcadia Data Now Gets Kafka Users Up In an “Instant”
Arcadia Data's new Arcadia Instant for KSQL will allow Kafka users to get up and running quickly on streaming data
Glassbeam to Integrate Apache Kafka into Its Industrial IoT Analytics Platform
Organizations will be able to develop and deploy Apache Kafka applications without the need to lock in their data with
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