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Apache Flink, stream processing, event-driven applications, and more.
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Community Update: October 2018 Apache Flink Bay Area Meetup
On October 11 MapR and data Artisans held their first mutual Apache Flink...
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Watermarks in Apache Flink Made Easy
This post presents a simple example showing why we need watermarks in Fli...
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How Apache Flink manages Kafka consumer offsets
This blog post describes how Apache Flink manages Apache Kafka consumer o...
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An introduction to ACID guarantees and transaction processing
Transaction processing has emerged as a necessary technology for modern e...
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6 things to consider when defining your Apache Flink cluster size
This blog post provides some easy tips on how to plan and calculate a Fli...
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State TTL for Apache Flink: How to Limit the Lifetime of State
Any non-trivial real-time streaming application includes stateful ops. Ap...
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Latest improvements for Apache Flink with the release of Flink 1.5.4 and 1.6.1
The Apache Flink community just released two bugfix versions, Apache Flin...
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Announcing Data Artisans Platform 1.2 with major new Enterprise Security features
We are excited to announce Data Artisans Platform 1.2 with major new Ente...
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Serializable ACID Transactions on Streaming Data
We have witnessed the growth of data stream processing from its nascent d...
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