# Apache Kafka
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apache kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
Introducing Apache Kafka on Azure HDInsight
Raghav Mohan stops by to announce the addition of Apache Kafka to the HDInsight family. Azure HDInsight is a managed cloud Hadoop and Spark service built for the enterprise. This is an exciting addition as it enables enterprises to build scalable, real-time streaming pipelines on the HDInsight plat…
155 Contributors Later: Where Kafka Is Headed ft. Andrew Schofield | Ep. 34
Tim Berglund talks to Andrew Schofield (Confluent) about his career in Apache Kafka. Andrew’s first job: working on queuing systems in 1991. His challenge: working at Confluent and in the Kafka community to bring queue semantics into Kafka while also helping shape major efforts like diskless Kafka,…
What is real-time data streaming?
This episode of Techsplainers explores real-time data streaming and why it has become essential for modern enterprises that need immediate insight from fast-moving information. The episode explains how real-time streaming differs from traditional batch processing by handling data as it arrives, oft…
What is a data streaming platform?
This episode of Techsplainers explores data streaming platforms and how they help organizations continuously capture, process, analyze and deliver data in real time or near-real time. The episode explains why these platforms have become essential as businesses shift from slower batch-based workflow…
What is Apache Kafka?
This episode of Techsplainers explores Apache Kafka, the open-source event-streaming platform that has become a cornerstone of modern real-time data systems. The episode explains how Kafka helps organizations publish, store, process and consume streams of events with high throughput, low latency an…
What is streaming analytics?
This episode of Techsplainers explores streaming analytics, the real-time analytics layer that helps organizations continuously ingest, process and analyze streaming data as it is generated. The episode explains how streaming analytics differs from traditional batch-based approaches by delivering i…
Cloudera Anywhere Cloud Launches: One Control Plane for AI and Data Across Public, Sovereign, and On-Prem Environments
Cloudera has introduced Cloudera Anywhere Cloud, a hybrid data and AI platform engineered to build, deploy, and scale production-grade workloads across public clouds, sovereign environments, and private on-premises infrastructure. The platform can function as a standalone deployment or integrate…
You Can't Prompt Your Way to a Flying Car | Tim Berglund
Tim Berglund spent twenty years calling AI a promissory note. Always a bright future, never a bright present. (The field was born overpromising. The Dartmouth crew figured they'd nail human intelligence in a couple of months. That was the 1950s.)Then in December 2025 he opened Claude Code and said …
08 - Real-Time Intelligence and Streaming Data - The Microsoft Fabric Data
Welcome back to Episode 8! Today, we're talking about data that simply cannot wait for an overnight batch run: Real-Time Intelligence.
Think about cases like live IoT factory sensors, server error logs, user clicks on a shopping app, or payment transactions. If you run a data pipeline only once an …
👨🔧 Kafka and Materialize Are Being Assigned Jobs They Do Not Perform
The episode outlines the technical evolution and common misconceptions surrounding the multimodal lakehouse architecture for AI workloads. While the Lance format and LanceDB platform offer a unified way to manage video, audio, and text, popular industry diagrams often mischaracterise the roles of s…
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