Arek Burdach

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

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 In our whitepaper: nussknacker.io/whitepaper-low… we describe features that should have a tool for policies

@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...

When I started working on Drools 12 years ago they told me that rules engines were a sunsetting technology. They just changed name to that thing and now in 2023 are saying that rules are for early adopters or even innovators. IT is an infinite "reinventing the wheel" loop.

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 bit.ly/3gZZrYt

@OneCricketeer @bartektartanus @confluentinc @apachekafka @Nussknacker_io Rather "natively on @ksqlDB . It can be an advantage but on the other hand thanks to being independent from such engines, in @Nussknacker_io you can write your own components in pure java/scala

👋Say hello to Stream Designer: The industry’s first visual interface for building streaming data pipelines natively on @apachekafka. 💥 Rapidly build, test, and deploy pipelines using a visual canvas extensible with SQL. Check it out 👇 #Current22 cnfl.io/3SgrXCF

#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;) touk.pl/careers #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 ↓↓↓ github.com/TouK/nussknack…

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 ↓↓↓ nussknacker.io/blog/nussknack…

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 nussknacker.io/blog/event-str…

If you need #agile #streamprocessing - e.g. with @ApacheFlink and @ApacheKafka, we're happy to help :)

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. nussknacker.io

📦✨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! github.com/TouK/nussknack… Find this and other community projects at: flink-packages.org

Jesteśmy dzisiaj na @scalarconf, wpadnijcie na nasze stoisko pograć w Quaka i pogadać o naszych Scalowych projektach :)

TouK Hackathon – March 2019 - Rafał Solarski's latest post on #TouK Team Blog. ift.tt/2OF8Xh7