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First, some history: more than year ago one of our clients decided it’s high time for Real Time Marketing. They had pretty large data streams and lots of ideas for marketing campaigns, so one of the key success factors was the ability to process the data fast. We prepared a POC based on Apache Flink and it turned out that it’s really great piece of technology - fast and accurate.
Nussknacker to the rescue!
#input.usageData > 0” or SMS/mail content), then you press the Deploy button and voilà - your brand new process in running on Flink cluster!
Sounds a bit scary to let your users run stream processes with GUI? Bad filter condition can have serious performance implications if you’re dealing with streams of tens of thousands of events per second... That’s why we let user test their diagrams first - each test case can be generated by sample of real data coming from e.g. Kafka and then run in Flink sandbox mini-cluster.
Where can I use it?
What are Nussknacker use cases? Our main deployments deal with RTM (Real Time Marketing). One of our clients started with RTM and then found out that Nussknacker is also great choice for fraud detection in real time. Industries we are working with include telcos, banks and media companies. We are also thinking about other possibilities - for example IoT.
If you are interested in easy access for semi-technical analysts to streaming data - give Nussknacker a try!