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Apache Flink, stream processing, event-driven applications, and more.
3 important performance factors for stateful functions and operators
3 factors developers should keep in mind when assessing the performance o...
Smart Systems IoT Use Case with open source Kafka, Flink & CrateDB
This post provides a step-by-step tutorial that demonstrates how IoT stre...
Introducing our new name!
Today, we’re excited to share the next phase of our journey - introducing...
MATCH_RECOGNIZE: where Flink SQL and Complex Event Processing meet.
This post will guide you through an example that showcases how easily you...
Oceanus: A one-stop platform for real time stream processing powered by Apache Flink
To satisfy the need for accessible real-time stream processing, we built ...
How Trackunit leverages Flink to process real-time data from industrial IoT devices
We describe how Trackunit leverages Apache Flink as the stream processing...
4 characteristics of Timers in Apache Flink to keep in mind
This blog post describes some basic concepts and considerations for the u...
The transformation of (open source) data processing
Post goes through the evolution of open source data processing and covers...
data Artisans + Alibaba: A new chapter for Open Source Big Data
Let us highlight the reasons why we are thrilled about this move and the ...
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