Apache Kafka, Samza, and the Unix Philosophy of Distributed Data
One of the things I realised while doing research for my book is that contemporary software engineering still has a lot to learn from the 1970s. As we’re in such […]
One of the things I realised while doing research for my book is that contemporary software engineering still has a lot to learn from the 1970s. As we’re in such […]
Apache Kafka is widely used to enable a number of data intensive operations from collecting log data for analysis to acting as a storage layer for large scale real-time stream […]
Building operational simplicity into distributed systems, especially for nuanced behaviors, is somewhat of an art and often best achieved after gathering production experience. Apache Kafka‘s popularity can be attributed in […]
This is a repost of a recent article that I wrote for ODBMS. In the last few years, there has been significant growth in the adoption of Apache Kafka. Current […]
Some of us from Confluent will be speaking at QCon NYC next week about Apache Kafka and Confluent’s stream data platform. Here are some things to look forward to from […]
This is an edited transcript of a talk I gave at the Craft Conference 2015. The video and slides are also available.
This is an edited and expanded transcript of a talk I gave at Strange Loop 2014. The video recording (embedded below) has been watched over 8,000 times. For those of […]
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 […]
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 […]
Fully managed Apache Kafka as a service
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