This is the second part of our guide on streaming data and Apache Kafka. In part one I talked about the uses for real-time data streams and explained the concept of […]
Data systems have mostly focused on the passive storage of data. Phrases like “data warehouse” or “data lake” or even the ubiquitous “data store” all evoke places data goes to […]
Some people call it stream processing. Others call it event streaming, event sourcing, or CQRS. Some even call it complex event processing. Sometimes, such buzzwords are just smoke and mirrors, […]
I am very excited to tell you about the forthcoming 0.8.2 release of Apache Kafka. Kafka is a fault-tolerant, low-latency, high-throughput distributed messaging system used in data pipelines at several […]
Today I’m excited to announce that Neha Narkhede, Jun Rao, and I are forming a start-up called Confluent around realtime data and the open source project Apache Kafka that we […]
