Key Takeaways. A streaming infrastructure can improve ML prediction latency and continual learning; Batch processing on static data is a subset of processing streaming data, so a streaming system ...

Real-time data and decisioning. First, a few quick definitions. Real-time data involves a continuous flow of data in motion. It’s streaming data that’s collected, processed, and analyzed on a ...

Streaming data is the data that you can access through [inaudible 00:06:30] real-time transport like Kafka, Kinesis. Static data because it has already been generated, you know exactly how many ...

Redpanda’s streaming data platform allows companies to collect, store and analyze data in real time. A key part of the company’s growth and success is how it is enabling organizations across ...

Since its pivot from mail-order video to streaming in the early 2000s, Netflix had extensively used machine-learning algorithms to optimize customer experience and retention. In this case, students ...

Confluent Inc. today announced expanded capabilities for its managed service for Apache Flink, the open-source big data processing framework.Unlike the regular open-source Flink, it comes with a n ...