Focused on Big Data. Open Source contributor. I'm an Apache Beam and Flink committer and Beam PMC member. I'm also an Apache Software Foundation member
I just published a series of articles about creating a batch source with the new @Flink Source framework:
https://t.co/7tnuhGRD2l
https://t.co/c4JeHoKsoE
#apache#flink
I just published my first blog article about @ApacheFlink. This one is about migrating a real-life batch pipeline from the DataSet API to the DataStream API:
https://t.co/J7kNNOBctj
#apache#flink#DataSet#DataStream#SQL
Happy to announce the agenda for this year‘s @FlinkForward San Francisco. Apple, AWS, Stripe, Pinterest, Goldman Sachs, Databricks, and many other community members will join us in August!
https://t.co/fN8l0tY4xC
It looks like a little addition but actually starts a new era for @ApacheFlink. From pure unified #processing to unified #storage. The vision of FlinkDB or Flink data lake comes closer. Currently, powered by @apachekafka and @RocksDB but who knows how this will evolve.
📢The #ApacheFlink community is happy to announce the release of #Flink 1.15.0, which contains a number of exciting changes. Please checkout out the release blog post for details.
https://t.co/Y0mEkWOOW1
Big thanks to the community for all the contributions! 👏👏👏
Join us tomorrow 15th March, 3pm (UTC+1 / CET), online & free.
I will present how @ApacheFlink solves different scenarios: as a batch processor, a changelog processor, or a streaming ETL tool.
You can still register here if you are interested:
https://t.co/wO1IQtZ1cf
With @ApacheFlink 1.15, you will be able to recover from TaskManager process/node failures using local recovery. This gives almost instant recovery because no more state has to be fetched remotely. Check out how it is configured when using @kubernetesio: https://t.co/pe9ygST5Uz
The Flink community is happy to announce that Stateful Functions v3.2.0 has been released. It now comes with a JavaScript SDK, more flexible module names, custom metrics and runs on Flink 1.14.3. Try it out!
https://t.co/GNoAaCqETj
The @ApacheFlink community just reached its 1000th contributor on Github 🎉🥳
It is amazing to see how many people help shaping Flink. Thanks to each and everyone of you! Flink is only what it is because of you! 🛠️🚀
If you are interested in learning how the @ApacheFlink community achieved an 87% reduction of scheduling time, there is an in-depth article explaining all the details 🚀
https://t.co/Vo5JSKo9IY
We are about to release new versions of #Flink for the 1.11.x, 1.12.x, 1.13.x, 1.14.x series upgrading the #log4j dependency.
Release candidates are available here: https://t.co/4AnNbGtccz
They only change the log4j dependency and are otherwise identical the previous versions.