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#apacheflink — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #apacheflink, aggregated by home.social.

  1. #Pinterest launched a next-gen CDC-based ingestion framework.

    Using #ApacheKafka, #ApacheFlink, #ApacheSpark & #ApacheIceberg, they achieved:
    • Latency cut from 24+ hours to 15 minutes
    • Processing of only changed records
    • Support for incremental updates & deletions
    • Petabyte-scale data across 1,000+ pipelines

    Win: optimized cost & efficiency!

    Read the architectural deep dive on InfoQ 👉 bit.ly/4rMJB2H

    #SoftwareArchitecture #ChangeDataCapture

  2. #Pinterest launched a next-gen CDC-based ingestion framework.

    Using #ApacheKafka, #ApacheFlink, #ApacheSpark & #ApacheIceberg, they achieved:
    • Latency cut from 24+ hours to 15 minutes
    • Processing of only changed records
    • Support for incremental updates & deletions
    • Petabyte-scale data across 1,000+ pipelines

    Win: optimized cost & efficiency!

    Read the architectural deep dive on InfoQ 👉 bit.ly/4rMJB2H

    #SoftwareArchitecture #ChangeDataCapture

  3. #Pinterest launched a next-gen CDC-based ingestion framework.

    Using #ApacheKafka, #ApacheFlink, #ApacheSpark & #ApacheIceberg, they achieved:
    • Latency cut from 24+ hours to 15 minutes
    • Processing of only changed records
    • Support for incremental updates & deletions
    • Petabyte-scale data across 1,000+ pipelines

    Win: optimized cost & efficiency!

    Read the architectural deep dive on InfoQ 👉 bit.ly/4rMJB2H

    #SoftwareArchitecture #ChangeDataCapture

  4. #Pinterest launched a next-gen CDC-based ingestion framework.

    Using #ApacheKafka, #ApacheFlink, #ApacheSpark & #ApacheIceberg, they achieved:
    • Latency cut from 24+ hours to 15 minutes
    • Processing of only changed records
    • Support for incremental updates & deletions
    • Petabyte-scale data across 1,000+ pipelines

    Win: optimized cost & efficiency!

    Read the architectural deep dive on InfoQ 👉 bit.ly/4rMJB2H

    #SoftwareArchitecture #ChangeDataCapture

  5. launched a next-gen CDC-based ingestion framework.

    Using , , & , they achieved:
    • Latency cut from 24+ hours to 15 minutes
    • Processing of only changed records
    • Support for incremental updates & deletions
    • Petabyte-scale data across 1,000+ pipelines

    Win: optimized cost & efficiency!

    Read the architectural deep dive on InfoQ 👉 bit.ly/4rMJB2H

  6. Flink Stateful Functions nightlies.apache.org/flink/fli hasn't had an update in several years and is still compiled against an old version of Apache Flink.

    I spent some time during the holidays uplifting it to Flink 2.2.0 github.com/fransking/flink-sta

    Notionally it appears to be working as expected.

    #flink #flinkStatefun #apacheFlink

  7. This new feature ensures seamless schema updates for CDC data sources, enhancing flexibility and data consistency. hackernoon.com/final-project-r #apacheflink

  8. Join us in #Lucerne on October 15, 2025 for an exciting talk by Viktor Gamov about #StreamProcessing with #Apache #Flink!

    Stream processing has come a long way. Today’s systems handle strict correctness guarantees, low latency, and terabytes of state. In this talk, Viktor will introduce #ApacheFlink, explain concepts like stateful and event-time stream processing, and explore its APIs and ecosystem.

    More info & registration: jug.ch/html/events/2025/statef

    #Java #Flink #Kafka #CloudNative

  9. Join us in #Lucerne on October 15, 2025 for an exciting talk by Viktor Gamov about #StreamProcessing with #Apache #Flink!

    Stream processing has come a long way. Today’s systems handle strict correctness guarantees, low latency, and terabytes of state. In this talk, Viktor will introduce #ApacheFlink, explain concepts like stateful and event-time stream processing, and explore its APIs and ecosystem.

    More info & registration: jug.ch/html/events/2025/statef

    #Java #Flink #Kafka #CloudNative

  10. Join us in #Lucerne on October 15, 2025 for an exciting talk by Viktor Gamov about #StreamProcessing with #Apache #Flink!

    Stream processing has come a long way. Today’s systems handle strict correctness guarantees, low latency, and terabytes of state. In this talk, Viktor will introduce #ApacheFlink, explain concepts like stateful and event-time stream processing, and explore its APIs and ecosystem.

    More info & registration: jug.ch/html/events/2025/statef

    #Java #Flink #Kafka #CloudNative

  11. Join us in #Lucerne on October 15, 2025 for an exciting talk by Viktor Gamov about #StreamProcessing with #Apache #Flink!

    Stream processing has come a long way. Today’s systems handle strict correctness guarantees, low latency, and terabytes of state. In this talk, Viktor will introduce #ApacheFlink, explain concepts like stateful and event-time stream processing, and explore its APIs and ecosystem.

    More info & registration: jug.ch/html/events/2025/statef

    #Java #Flink #Kafka #CloudNative

  12. Join us in #Lucerne on October 15, 2025 for an exciting talk by Viktor Gamov about #StreamProcessing with #Apache #Flink!

    Stream processing has come a long way. Today’s systems handle strict correctness guarantees, low latency, and terabytes of state. In this talk, Viktor will introduce #ApacheFlink, explain concepts like stateful and event-time stream processing, and explore its APIs and ecosystem.

    More info & registration: jug.ch/html/events/2025/statef

    #Java #Flink #Kafka #CloudNative

  13. Explore the latest Apache Flink SQL & Table API updates, enabling real-time AI, advanced joins, UDFs, and cloud-native state management. hackernoon.com/what-you-need-t #apacheflink

  14. It's #MLPrague today! I'm here with @stereosky
    Teaching a workshop streaming in the machine learning with #apacheflink and #python!
    Come along and find us at 14:00 where we'll run through streaming, ML and how to put it all together!

  15. It's #qcon London!!
    We're here with a booth and talks on #ZeroTrust and #apacheflink.
    Also meeting old friends Nf colleagues!

  16. It's #qcon London!!
    We're here with a booth and talks on #ZeroTrust and #apacheflink.
    Also meeting old friends Nf colleagues!

  17. It's London!!
    We're here with a booth and talks on and .
    Also meeting old friends Nf colleagues!

  18. It's #qcon London!!
    We're here with a booth and talks on #ZeroTrust and #apacheflink.
    Also meeting old friends Nf colleagues!

  19. It's #qcon London!!
    We're here with a booth and talks on #ZeroTrust and #apacheflink.
    Also meeting old friends Nf colleagues!

  20. Atlassian introduced Lithium - an in-house #ETL platform designed to meet the requirements of dynamic data movement.

    Lithium simplifies cloud migrations, scheduled backups, and in-flight data validations with ephemeral pipelines and tenant-level isolation - ensuring efficiency, scalability & cost savings.

    📢 InfoQ spoke with Niraj Mishra, Principal Engineer at Atlassian, about Lithium’s implementation and future.

    🔗 Read more here: bit.ly/415RPYZ

    #DataPipelines #KafkaStreams #ApacheKafka #ApacheFlink #SoftwareArchitecture

    #InfoQ

  21. Spent this morning digging into a job in production. I just love this technology, both in development and operation. Give it a try!

    flink.apache.org/

  22. 🎁 An early Christmas present for y'all: a new blog in which I explore Flink CDC. Building data pipelines declaratively is pretty nice, but is it ready for prime-time? Let's find out!

    📝 dcbl.link/flink-cdc2

    #dataEngineering #ApacheFlink #ETL #ELT

  23. This role will let me build on my recent work, dive into new tech, and support the next wave of #openSource innovation. While I may be shifting gears, I’m looking forward to continued collaboration with the wonderful #apacheKafka 🦦 and #apacheFlink 🐿 communities.

  24. 🎃The October issue of #CheckpointChronicle is now out 🌟

    It covers Ververica's Fluss, #ApacheFlink 2.0, Iggy.rs, Strimzi's support for #ApacheKafka 4.0, tons of OTF material from @vanlightly, Christian Hollinger's write up of ngrok's data platform, nice detail of how SmartNews use #ApacheIceberg with Flink and #ApacheSpark, a good writeup from Sudhendu Pandey on #ApachePolaris, notes from Kir Titievsky on Kafka's Avro serialisers, and much more!

    dcbl.link/cc-oct242

  25. 🎃The October issue of #CheckpointChronicle is now out 🌟

    It covers Ververica's Fluss, #ApacheFlink 2.0, Iggy.rs, Strimzi's support for #ApacheKafka 4.0, tons of OTF material from @vanlightly, Christian Hollinger's write up of ngrok's data platform, nice detail of how SmartNews use #ApacheIceberg with Flink and #ApacheSpark, a good writeup from Sudhendu Pandey on #ApachePolaris, notes from Kir Titievsky on Kafka's Avro serialisers, and much more!

    dcbl.link/cc-oct242

  26. 🎃The October issue of #CheckpointChronicle is now out 🌟

    It covers Ververica's Fluss, #ApacheFlink 2.0, Iggy.rs, Strimzi's support for #ApacheKafka 4.0, tons of OTF material from @vanlightly, Christian Hollinger's write up of ngrok's data platform, nice detail of how SmartNews use #ApacheIceberg with Flink and #ApacheSpark, a good writeup from Sudhendu Pandey on #ApachePolaris, notes from Kir Titievsky on Kafka's Avro serialisers, and much more!

    dcbl.link/cc-oct242

  27. 🎃The October issue of #CheckpointChronicle is now out 🌟

    It covers Ververica's Fluss, #ApacheFlink 2.0, Iggy.rs, Strimzi's support for #ApacheKafka 4.0, tons of OTF material from @vanlightly, Christian Hollinger's write up of ngrok's data platform, nice detail of how SmartNews use #ApacheIceberg with Flink and #ApacheSpark, a good writeup from Sudhendu Pandey on #ApachePolaris, notes from Kir Titievsky on Kafka's Avro serialisers, and much more!

    dcbl.link/cc-oct242

  28. 🎃The October issue of #CheckpointChronicle is now out 🌟

    It covers Ververica's Fluss, #ApacheFlink 2.0, Iggy.rs, Strimzi's support for #ApacheKafka 4.0, tons of OTF material from @vanlightly, Christian Hollinger's write up of ngrok's data platform, nice detail of how SmartNews use #ApacheIceberg with Flink and #ApacheSpark, a good writeup from Sudhendu Pandey on #ApachePolaris, notes from Kir Titievsky on Kafka's Avro serialisers, and much more!

    dcbl.link/cc-oct242

  29. I'm at the streaming data summit and Taylor Swift is the topic of the conversation.
    What is Taylor Swift to us?
    A traffic spike!
    #apachepulsar #apacheflink

  30. It's the formal opening of @FlinkFoward!
    If you're here, the opening talks are starting!! #apacheflink #datastreaming #realtime!

  31. I'm a sucker for a nice plushy. And these two are from #current24 and reprisent my favourite raft powered distributed systems, #TiDB and #Redpanda!
    Both which work great with @ververicadata and #apacheflink

  32. Part two of the journey to #current24, getting off the plane...
    I'll see most of you all tomorrow, though some will be at the meet up this evening.
    Ping me to chat nonsense about
    #apacheflink, #apachePaimon and #apachekafka

  33. does anyone have suggestions for #ApacheFlink podcasts?

    I am not looking for documentation or YouTube videos. I am looking for audio RSS feeds I can add to my podcatcher. If the RSS feed has embedded video, that is fine, but YouTube does not provide a RSS feed with an embed.

  34. #CaseStudy - Discover how #Yelp reworked its data streaming architecture with #ApacheBeam & #ApacheFlink!

    The company replaced a fragmented set of data pipelines for streaming transactional data into its analytical systems, like Amazon Redshift and in-house data lake, using Apache data streaming projects to create a unified and flexible solution.

    Dive into the details: bit.ly/3WgkTL7

    #InfoQ #SoftwareArchitecture #EventDrivenArchitecture #DataPipelines #Streaming

  35. #CaseStudy - Discover how #Yelp reworked its data streaming architecture with #ApacheBeam & #ApacheFlink!

    The company replaced a fragmented set of data pipelines for streaming transactional data into its analytical systems, like Amazon Redshift and in-house data lake, using Apache data streaming projects to create a unified and flexible solution.

    Dive into the details: bit.ly/3WgkTL7

    #InfoQ #SoftwareArchitecture #EventDrivenArchitecture #DataPipelines #Streaming

  36. #CaseStudy - Discover how #Yelp reworked its data streaming architecture with #ApacheBeam & #ApacheFlink!

    The company replaced a fragmented set of data pipelines for streaming transactional data into its analytical systems, like Amazon Redshift and in-house data lake, using Apache data streaming projects to create a unified and flexible solution.

    Dive into the details: bit.ly/3WgkTL7

    #InfoQ #SoftwareArchitecture #EventDrivenArchitecture #DataPipelines #Streaming

  37. #CaseStudy - Discover how #Yelp reworked its data streaming architecture with #ApacheBeam & #ApacheFlink!

    The company replaced a fragmented set of data pipelines for streaming transactional data into its analytical systems, like Amazon Redshift and in-house data lake, using Apache data streaming projects to create a unified and flexible solution.

    Dive into the details: bit.ly/3WgkTL7

    #InfoQ #SoftwareArchitecture #EventDrivenArchitecture #DataPipelines #Streaming

  38. - Discover how reworked its data streaming architecture with & !

    The company replaced a fragmented set of data pipelines for streaming transactional data into its analytical systems, like Amazon Redshift and in-house data lake, using Apache data streaming projects to create a unified and flexible solution.

    Dive into the details: bit.ly/3WgkTL7

  39. Do you know SQL? Exactly!

    Most databases and data processing tools support SQL for exactly that reason. And we see a strong movement for all of them to get closer to the standard, day by day.

    In this weeks episode of the Cloud Commute podcast, our host @noctarius2k talks with @gunnarmorling from #Decodable about the benefits of #SQL, how #CDC (change data capture) works and why Decodable uses #ApacheFlink as the underlying technology for its #StreamProcessing offering.

    youtu.be/qrWBboOPY5U

  40. Do you know SQL? Exactly!

    Most databases and data processing tools support SQL for exactly that reason. And we see a strong movement for all of them to get closer to the standard, day by day.

    In this weeks episode of the Cloud Commute podcast, our host @noctarius2k talks with @gunnarmorling from #Decodable about the benefits of #SQL, how #CDC (change data capture) works and why Decodable uses #ApacheFlink as the underlying technology for its #StreamProcessing offering.

    youtu.be/qrWBboOPY5U

  41. Do you know SQL? Exactly!

    Most databases and data processing tools support SQL for exactly that reason. And we see a strong movement for all of them to get closer to the standard, day by day.

    In this weeks episode of the Cloud Commute podcast, our host @noctarius2k talks with @gunnarmorling from #Decodable about the benefits of #SQL, how #CDC (change data capture) works and why Decodable uses #ApacheFlink as the underlying technology for its #StreamProcessing offering.

    youtu.be/qrWBboOPY5U

  42. Do you know SQL? Exactly!

    Most databases and data processing tools support SQL for exactly that reason. And we see a strong movement for all of them to get closer to the standard, day by day.

    In this weeks episode of the Cloud Commute podcast, our host @noctarius2k talks with @gunnarmorling from #Decodable about the benefits of #SQL, how #CDC (change data capture) works and why Decodable uses #ApacheFlink as the underlying technology for its #StreamProcessing offering.

    youtu.be/qrWBboOPY5U

  43. Do you know SQL? Exactly!

    Most databases and data processing tools support SQL for exactly that reason. And we see a strong movement for all of them to get closer to the standard, day by day.

    In this weeks episode of the Cloud Commute podcast, our host @noctarius2k talks with @gunnarmorling from #Decodable about the benefits of #SQL, how #CDC (change data capture) works and why Decodable uses #ApacheFlink as the underlying technology for its #StreamProcessing offering.

    youtu.be/qrWBboOPY5U

  44. Just another day on the #ApacheFlink user mailing list 🙃

    👉For better or worse, understanding JARs is an unavoidable first step to using Flink if you're running it yourself.

    👇 That's why I wrote about it a lot 😁

    1️⃣ decodable.co/blog/flink-sql-an
    2️⃣ decodable.co/blog/flink-sql-mi

  45. ✍️Blogged: Flink SQL—Misconfiguration, Misunderstanding, and Mishaps

    🫖 Pull up a comfy chair, grab a mug of tea, and settle in to read about my adventures troubleshooting some gnarly #ApacheFlink problems ranging from the simple to the ridiculous…

    🔗 dcbl.link/troubleshooting-flin

    👉 Topics include:

    🤔 What's Running Where? (Fun with Java Versions)
    🤨 What's Running Where? (Fun with JAR dependencies)
    😵 What's Running Where? (Not So Much Fun with Hive MetaStore)

    #dataEngineering #openSource