@@DeveloperVoices I'd say somebody from databricks that could put more color on the internal workings and point out some pros and cons of using it. I'm sure they will be glad to send some of their experts to attend the podcast.
Asking a 12 year veteran working in single tool whether tool support reporting like pdf, csv. Holy please stop doing any content at all. This is just embarrassing for anyone even coming to your channel for speaking.
I think what you've missed is how many people doing data engineering are stuck with unclean data in crappy data sources. I was asking if Flink would be any help in that ugly but all-too-common reality.
Great content. Just discovered the channel and started binge-watching!
Same listening while I work today!
Good questions and excellent, clearly developed replies. It helps a lot to build up flink knowledge. Thank you, guys.
Awesome video
Amazing talk, Thankyou :)
Can you please cover apache spark streaming?
Yes! Good idea. I'll add that to my list of guests to research. Any suggestions for who would make a good interviewee?
@@DeveloperVoices I'd say somebody from databricks that could put more color on the internal workings and point out some pros and cons of using it. I'm sure they will be glad to send some of their experts to attend the podcast.
a vendor wil point out the cons…? 😂
@@simonmassey8850 at least will point out all the cons for Apache Flink :)
It would be nice to have savepoint triggering available from the web ui.
With Ververica platform you can
@@naci.simsek I might attempt to make my first open source contribution to OS flink with that feature...
Nice Great talk. More and more developers should be allowed to talk. he didn't pitched decodable, his company for managed flink.
Apache Flink brings the worst in terms of maintainability. It's basically the essence of Spark RDD. A trully throwback, in my opinion.
Asking a 12 year veteran working in single tool whether tool support reporting like pdf, csv. Holy please stop doing any content at all. This is just embarrassing for anyone even coming to your channel for speaking.
I think what you've missed is how many people doing data engineering are stuck with unclean data in crappy data sources. I was asking if Flink would be any help in that ugly but all-too-common reality.