We’re seeking a new member for the Apple Flink Platform team. If you’re interested in working on the platform powering some of the world’s largest and most impactful streaming pipelines, apply here: https://t.co/y9i2iqQgXO
For non-US based applicants, please reach out to me🙂
My team is looking for an experienced Flink poweruser or Flink committer for our California location. Feel free to apply/reach out if you would be interested in building our data platform and working directly with internal users at Apple. https://t.co/ozt04sRaVT
1/ It is not even a year ago that the @ApacheFlink community has launched its #Kubernetes Operator project and we already had 5 releases. More than 500 commits from 50 contributors and over 75K docker image downloads. https://t.co/z7HoKoqsVq
Looking for an "easy button" for deploying Flink on Kubernetes?
#ApacheFlink PMC Chair @rmetzger_ , and key contributors @GyulaFora and Mátyás Örhidi, discuss the motivation for creating the #Kubernetes operator and dig into the details of using it.
▶️ https://t.co/AQctYaIWzb
@SwieckiDamian@MartonBalassi@ApacheFlink At this early point this is definitely beyond the scope of the operator, but if there is a community demand for it, anything can happen :)
Our Flink team at @Apple is looking for talented Software Engineers worldwide to work on our @ApacheFlink platform. Please see https://t.co/dnkorZRfIE for more details and do not hesitate to reach out with any questions.
@saarw@nilsloodin@vanschneider You need to show pic of your watch. :) Also Tudor BB58 have some interesting variations recently. Silver could have a nice patina maybe. But it’s not a big watch
@StephanEwen@ApacheFlink@VervericaData It’s not an understatement to say that it was a life and career changing experience to work with you throughout the years. Thank you and I wish you great luck to whatever comes next!
Last week I had an "aha moment" when I could easily write a streaming pipeline via SQL joining data from 2 Kafka topics & then enriching them in-stream with at-rest data from Kudu & Hive. The convergence of Streaming + Batch is finally here with CSA 1.4:
https://t.co/z90nheWIF4
@StephanEwen@julianhyde@ApacheCalcite Some of the core features in the first release: Nice web based editor, easy management for Kafka/Schema Reg tables, Materialized views for building applications around the queries and some team management :)
@StephanEwen@julianhyde@ApacheCalcite There might be some confusion in this article. SQL streambuilder is a product sitting on top of Flink SQL , not an alternative engine.
Had a great chat with @LeslieD and @kennygorman about @ApacheFlink , Streaming Platforms and democratising stream processing. Thank you very much for hosting me!