“We operate a UPI infrastructure on a 100% open source stack. People used to ask, ‘Can we really scale and build ...

The examples in this repository demonstrate how to use the Kafka Consumer, Producer, and Streaming APIs with a Kafka on HDInsight cluster. There are two projects included in this repository: ...

The latest release of Apache Kafka delivers the queue-like consumption semantics of point-to-point messaging. Here’s the how, what, and why. Since its initial release in 2011, Apache Kafka has ...

The Table API enables a programmatic way of developing, testing, and submitting Flink pipelines for processing data streams. Streams can be finite or infinite, with insert-only or changelog data. The ...

This article offers an approach to writing integration tests for Kafka-based applications that focuses on interaction specification, making tests more readable and easier to maintain. The proposed ...

When the big data movement started it was mostly focused on batch processing. Distributed data storage and querying tools like MapReduce, Hive, and Pig were all designed to process data in batches ...