In this article, we continue where we left off and focus solely on error detection for Hamming codes.
Hamming code is one of the Computer Science/Telecommunication classics.
In this article, we’ll revisit the topic and implement a stateless Hamming(7,4) encoder Read more
Handling checked exceptions in lambda expressions is often frustrating. Luckily, there is a type inference rule that we can exploit… Read more
In this short article, we will have a look at how we can bypass Kotlin’s native null-safety with sun.misc.Unsafe, and see why it can be dangerous even if we are not Read more
The tricky thing about working with PriorityQueues is that, ironically, they don’t always behave according to the PriorityQueue semantics. Read more
We have a large mysql database with payment transactions from multiple banks, aggregated for Nigerian biggest operator. Each day the customers create about Read more
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!
Gerrit often sends a lot of emails, especially if you take part in many projects. For a while we felt that sometimes it’s hard to notice the most important ones, Read more
Feel my pain
We use OSGi, but we don’t deploy our bundles further than testing environment. It is our client who deploys it to production. However, they rarely read Read more