Stream & batch unification is about costs reduction. #kappaarchitecture and #lambdaarchitecture is a step towards this goal but it can be easier when you use a technology stack that is tailored for that #flinkforward2023
Data streaming is not a single application that handles everything. Many companies are involved in building the whole ecosystem #FlinkForward2023 keynote @streamnativeio@Nussknacker_io is a part od this ecosystem as well. We make stream processing available for everyone.
Have you ever thought about handing over the implementation of operational processes to your business team? I have written a blog post about an idea that might help you to do that. Let me know in the comments what you think about this and how you handle this in your org
Why is it so complex to act on operational data?
1. Time: A lot of time is wasted as the IT team translates business requirements into code and the business team shapes those requirements.
https://t.co/PA4F1xUpNa
𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 of new release
✅ scenario testing with ad-hoc (user-provided) data
✅ more robust code completion for expressions - among other improvements, it now supports infinitely nested objects
@mariofusco@Cobolfrank@Nussknacker_io The way how you describe your policies depends on your team. If you have many devs and want them to write those rules - you can choose a code for that. In our cases, our users were mainly analytics/business experts...
If you want your #Azure#EventHubs data to perform a business job you must implement a decision rule. But having a decision engine with a friendly GUI is better than having to write code every time when business rules change
Is Twitter really that negative?
@ark_adius run an experiment to find out
Takeaways
- We added support for Twitter API v2 into #KafkaConnect
- Nussknacker does make data analysis easier
Btw, the metrics currently show the sentiment results for @elonmusk https://t.co/j3Ql0nMMbF
#Hackathon w #TouK - będzie się działo! Na najbliższy już do nas nie zdążysz, ale zajrzyj, #SoftwareDeveloper ze, na naszą stronę - otwartych rekrutacji Ci u nas dostatek, więc do następnego hackathonu może zechcesz dołączyć;)
https://t.co/9EJ7o5Q5aX
#scala#kotlin#java
Introducing Nussknacker 1.2. with Streaming-Lite runtime execution engine!
Now you can deploy a Nussknacker scenario as a @kubernetesio microservice
A short introduction ↓↓↓
https://t.co/egC8UeSeSF
How to solve the problem of giving business users the power to use fast data?
@ark_adius you need to make certain #architecturalchoices that make business logic easy to write and scale. Let’s take a look at the problem from multiple #perspectives ↓↓↓ https://t.co/AuKLwJp4FT
Dreaming about #lowcode business scenarios on #eventstreams, but afraid of complex ops of streaming engines? We're preparing something for you - check our latest #Nussknacker#blog https://t.co/KwjrwG5cDK
Friday news! We've released a new version of Nussknacker. You should already know by now that it's the best tool to author, deploy and monitor events stream processing using GUI. We cracked some more hard nuts with a new version so be sure to check it out. https://t.co/5aK7wuDS8e
📦✨Community Highlight
@TouK_pl's Nusscracker is a project that lets you design, deploy and monitor @ApacheFlink jobs using a slick GUI. You can even integrate with #MLFlow!
https://t.co/k1vPmZtO7I
Find this and other community projects at: https://t.co/VuBJPQ6FwC