#streamprocessing — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #streamprocessing, aggregated by home.social.
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Our experts, Krzysztof Grajek and Grzegorz Kocur, will be speaking at the Data Streaming Meetup in Kraków. View the agenda and join the event: https://meetup.com/krakow-kafka/events/314177442/
#ApacheKafka #DataStreaming #Confluent #Krk #Meetup #StreamProcessing #Rustlang #DevOps
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Our experts, Krzysztof Grajek and Grzegorz Kocur, will be speaking at the Data Streaming Meetup in Kraków. View the agenda and join the event: https://meetup.com/krakow-kafka/events/314177442/
#ApacheKafka #DataStreaming #Confluent #Krk #Meetup #StreamProcessing #Rustlang #DevOps
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Our experts, Krzysztof Grajek and Grzegorz Kocur, will be speaking at the Data Streaming Meetup in Kraków. View the agenda and join the event: https://meetup.com/krakow-kafka/events/314177442/
#ApacheKafka #DataStreaming #Confluent #Krk #Meetup #StreamProcessing #Rustlang #DevOps
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Our experts, Krzysztof Grajek and Grzegorz Kocur, will be speaking at the Data Streaming Meetup in Kraków. View the agenda and join the event: https://meetup.com/krakow-kafka/events/314177442/
#ApacheKafka #DataStreaming #Confluent #Krk #Meetup #StreamProcessing #Rustlang #DevOps
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Our experts, Krzysztof Grajek and Grzegorz Kocur, will be speaking at the Data Streaming Meetup in Kraków. View the agenda and join the event: https://meetup.com/krakow-kafka/events/314177442/
#ApacheKafka #DataStreaming #Confluent #Krk #Meetup #StreamProcessing #Rustlang #DevOps
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EventFlux – engine xử lý luồng dữ liệu nhẹ, viết bằng Rust. Chỉ cần một binary, tiêu tốn 50‑100 MB, khởi động trong mili giây, hỗ trợ >1M sự kiện/giây. Không cần Kubernetes, JVM hay Kafka; viết SQL và chạy ngay. Thích hợp cho các kịch bản streaming đơn giản, không thay thế Flink ở quy mô lớn. #EventFlux #Rust #StreamProcessing #OpenSource #XửLýDòngDữLiệu #MãNguồnMở
https://www.reddit.com/r/opensource/comments/1q739m1/eventflux_open_source_lightweight_stream/
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IBM to Acquire Confluent to Create Smart Data Platform for Enterprise Generative AI
ARMONK, NY and MOUNTAIN VIEW, CA, Dec. 8, 2025 /PRNewswire/ — IBM (NYSE: IBM) and Conflu…
#NewsBeep #News #Artificialintelligence #acquisition #AI #ApacheKafka #ArtificialIntelligence #ArvindKrishna #AU #Australia #Confluent #ConfluentIntelligence #Connectors #Datastreaming #GenerativeAI #IBM #JayKreps #StreamGovernance #StreamProcessing #StreamingAgents #Tableflow #Technology
https://www.newsbeep.com/au/335350/ -
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: https://www.jug.ch/html/events/2025/stateful_stream_processing.html
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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: https://www.jug.ch/html/events/2025/stateful_stream_processing.html
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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: https://www.jug.ch/html/events/2025/stateful_stream_processing.html
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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: https://www.jug.ch/html/events/2025/stateful_stream_processing.html
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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: https://www.jug.ch/html/events/2025/stateful_stream_processing.html
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⚡ Process streaming data with #PyFlink + #FlinkSQL.
See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.
🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource -
⚡ Process streaming data with #PyFlink + #FlinkSQL.
See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.
🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource -
⚡ Process streaming data with #PyFlink + #FlinkSQL.
See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.
🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource -
⚡ Process streaming data with #PyFlink + #FlinkSQL.
See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.
🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource -
⚡ Process streaming data with #PyFlink + #FlinkSQL.
See how to build pipelines using PyFlink Table API, #UDFs & #SQL—no JVM needed. Watch Diptiman Raichaudhuri demo windowing, event time processing & real-time #Kafka stream ingestion.
🎥 Click here: https://youtu.be/PnpHp3Y12xw
#StreamProcessing #FOSSASIA #OpenSource -
🥴 Behold, a #GitHub page promising to solve "real-world problems" with stream processing demos—because nothing screams practicality like endless code snippets that send developers into a #debugging abyss. 🌊🔧 Meanwhile, Copilot will 'help' by auto-generating more bugs, proving that #AI is the future... of creating jobs in tech support. 🤖🛠️
https://github.com/risingwavelabs/awesome-stream-processing #StreamProcessing #TechSupport #CodeSnippets #HackerNews #ngated -
🥴 Behold, a #GitHub page promising to solve "real-world problems" with stream processing demos—because nothing screams practicality like endless code snippets that send developers into a #debugging abyss. 🌊🔧 Meanwhile, Copilot will 'help' by auto-generating more bugs, proving that #AI is the future... of creating jobs in tech support. 🤖🛠️
https://github.com/risingwavelabs/awesome-stream-processing #StreamProcessing #TechSupport #CodeSnippets #HackerNews #ngated -
🥴 Behold, a #GitHub page promising to solve "real-world problems" with stream processing demos—because nothing screams practicality like endless code snippets that send developers into a #debugging abyss. 🌊🔧 Meanwhile, Copilot will 'help' by auto-generating more bugs, proving that #AI is the future... of creating jobs in tech support. 🤖🛠️
https://github.com/risingwavelabs/awesome-stream-processing #StreamProcessing #TechSupport #CodeSnippets #HackerNews #ngated -
🥴 Behold, a #GitHub page promising to solve "real-world problems" with stream processing demos—because nothing screams practicality like endless code snippets that send developers into a #debugging abyss. 🌊🔧 Meanwhile, Copilot will 'help' by auto-generating more bugs, proving that #AI is the future... of creating jobs in tech support. 🤖🛠️
https://github.com/risingwavelabs/awesome-stream-processing #StreamProcessing #TechSupport #CodeSnippets #HackerNews #ngated -
Demos of Stream Processing Solving Real-World Problems — https://github.com/risingwavelabs/awesome-stream-processing
#HackerNews #StreamProcessing #RealWorldProblems #Demos #TechInnovation #RisingWave -
Demos of Stream Processing Solving Real-World Problems — https://github.com/risingwavelabs/awesome-stream-processing
#HackerNews #StreamProcessing #RealWorldProblems #Demos #TechInnovation #RisingWave -
Demos of Stream Processing Solving Real-World Problems — https://github.com/risingwavelabs/awesome-stream-processing
#HackerNews #StreamProcessing #RealWorldProblems #Demos #TechInnovation #RisingWave -
Demos of Stream Processing Solving Real-World Problems — https://github.com/risingwavelabs/awesome-stream-processing
#HackerNews #StreamProcessing #RealWorldProblems #Demos #TechInnovation #RisingWave -
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.
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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.
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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.
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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.
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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.
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FOMO'd on #KafkaSummit? Want to catch up on what's happening in the data and streaming world?
Here is the 🌼 March 🌸 edition of #CheckpointChronicle with tons of great content for you.
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FOMO'd on #KafkaSummit? Want to catch up on what's happening in the data and streaming world?
Here is the 🌼 March 🌸 edition of #CheckpointChronicle with tons of great content for you.
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FOMO'd on #KafkaSummit? Want to catch up on what's happening in the data and streaming world?
Here is the 🌼 March 🌸 edition of #CheckpointChronicle with tons of great content for you.
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FOMO'd on #KafkaSummit? Want to catch up on what's happening in the data and streaming world?
Here is the 🌼 March 🌸 edition of #CheckpointChronicle with tons of great content for you.
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FOMO'd on #KafkaSummit? Want to catch up on what's happening in the data and streaming world?
Here is the 🌼 March 🌸 edition of #CheckpointChronicle with tons of great content for you.
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Excellent #apachekafka performance analysis blog from Maciej Mościcki and Piotr Rżysko.
Nice methodical use of tcpdump, flame charts and more to pinpoint the issue and work out remedial steps.
https://blog.allegro.tech/2024/03/kafka-performance-analysis.html
#streamProcessing #performanceAnalysis #performanceTuning #tcpdump #openSource
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Excellent #apachekafka performance analysis blog from Maciej Mościcki and Piotr Rżysko.
Nice methodical use of tcpdump, flame charts and more to pinpoint the issue and work out remedial steps.
https://blog.allegro.tech/2024/03/kafka-performance-analysis.html
#streamProcessing #performanceAnalysis #performanceTuning #tcpdump #openSource
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Excellent #apachekafka performance analysis blog from Maciej Mościcki and Piotr Rżysko.
Nice methodical use of tcpdump, flame charts and more to pinpoint the issue and work out remedial steps.
https://blog.allegro.tech/2024/03/kafka-performance-analysis.html
#streamProcessing #performanceAnalysis #performanceTuning #tcpdump #openSource
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Excellent #apachekafka performance analysis blog from Maciej Mościcki and Piotr Rżysko.
Nice methodical use of tcpdump, flame charts and more to pinpoint the issue and work out remedial steps.
https://blog.allegro.tech/2024/03/kafka-performance-analysis.html
#streamProcessing #performanceAnalysis #performanceTuning #tcpdump #openSource
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Excellent #apachekafka performance analysis blog from Maciej Mościcki and Piotr Rżysko.
Nice methodical use of tcpdump, flame charts and more to pinpoint the issue and work out remedial steps.
https://blog.allegro.tech/2024/03/kafka-performance-analysis.html
#streamProcessing #performanceAnalysis #performanceTuning #tcpdump #openSource
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🤫Shhh don't tell anyone… actually tell everyone!
🎉 #**ApacheFlink 1.19 RC2 **has just dropped. This is a release candidate, prior to the official release once it's signed off by the committers.
‼️Download it! Read the release notes! Try it out (just not in Production)!
👉 Details and links: https://lists.apache.org/thread/x61673q3ro52jvwj137hct2bqowzcy2v
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🤫Shhh don't tell anyone… actually tell everyone!
🎉 #**ApacheFlink 1.19 RC2 **has just dropped. This is a release candidate, prior to the official release once it's signed off by the committers.
‼️Download it! Read the release notes! Try it out (just not in Production)!
👉 Details and links: https://lists.apache.org/thread/x61673q3ro52jvwj137hct2bqowzcy2v
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🤫Shhh don't tell anyone… actually tell everyone!
🎉 #**ApacheFlink 1.19 RC2 **has just dropped. This is a release candidate, prior to the official release once it's signed off by the committers.
‼️Download it! Read the release notes! Try it out (just not in Production)!
👉 Details and links: https://lists.apache.org/thread/x61673q3ro52jvwj137hct2bqowzcy2v
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🤫Shhh don't tell anyone… actually tell everyone!
🎉 #**ApacheFlink 1.19 RC2 **has just dropped. This is a release candidate, prior to the official release once it's signed off by the committers.
‼️Download it! Read the release notes! Try it out (just not in Production)!
👉 Details and links: https://lists.apache.org/thread/x61673q3ro52jvwj137hct2bqowzcy2v
-
🤫Shhh don't tell anyone… actually tell everyone!
🎉 #**ApacheFlink 1.19 RC2 **has just dropped. This is a release candidate, prior to the official release once it's signed off by the committers.
‼️Download it! Read the release notes! Try it out (just not in Production)!
👉 Details and links: https://lists.apache.org/thread/x61673q3ro52jvwj137hct2bqowzcy2v
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The February edition of **#CheckpointChronicle** is out 🎉
It's got tons of content with links out to excellent stuff from folk across the data and streaming landscape
👉 https://dcbl.link/checkpoint-chronicle-6f6a0a
**#dataEngineering** **#streamProcessing** **#apacheFlink** **#apacheKafka** **#RDBMS** **#datadon**
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The February edition of **#CheckpointChronicle** is out 🎉
It's got tons of content with links out to excellent stuff from folk across the data and streaming landscape
👉 https://dcbl.link/checkpoint-chronicle-6f6a0a
**#dataEngineering** **#streamProcessing** **#apacheFlink** **#apacheKafka** **#RDBMS** **#datadon**
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The February edition of **#CheckpointChronicle** is out 🎉
It's got tons of content with links out to excellent stuff from folk across the data and streaming landscape
👉 https://dcbl.link/checkpoint-chronicle-6f6a0a
**#dataEngineering** **#streamProcessing** **#apacheFlink** **#apacheKafka** **#RDBMS** **#datadon**
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The February edition of **#CheckpointChronicle** is out 🎉
It's got tons of content with links out to excellent stuff from folk across the data and streaming landscape
👉 https://dcbl.link/checkpoint-chronicle-6f6a0a
**#dataEngineering** **#streamProcessing** **#apacheFlink** **#apacheKafka** **#RDBMS** **#datadon**
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The February edition of **#CheckpointChronicle** is out 🎉
It's got tons of content with links out to excellent stuff from folk across the data and streaming landscape
👉 https://dcbl.link/checkpoint-chronicle-6f6a0a
**#dataEngineering** **#streamProcessing** **#apacheFlink** **#apacheKafka** **#RDBMS** **#datadon**
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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This is a really useful write up of how Grab evolved their #apacheKafka-based ad-attribution reporting from a Kappa to Lambda architecture, including pros and cons of each.
📝 https://engineering.grab.com/attribution-platform
I always had in mind that the Kappa architecture (https://www.oreilly.com/radar/questioning-the-lambda-architecture/) was something that one evolved *to* from Lambda—and perhaps it's just a terminology difference—so it's interesting to see it the other way around.
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This is a really useful write up of how Grab evolved their #apacheKafka-based ad-attribution reporting from a Kappa to Lambda architecture, including pros and cons of each.
📝 https://engineering.grab.com/attribution-platform
I always had in mind that the Kappa architecture (https://www.oreilly.com/radar/questioning-the-lambda-architecture/) was something that one evolved *to* from Lambda—and perhaps it's just a terminology difference—so it's interesting to see it the other way around.
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This is a really useful write up of how Grab evolved their #apacheKafka-based ad-attribution reporting from a Kappa to Lambda architecture, including pros and cons of each.
📝 https://engineering.grab.com/attribution-platform
I always had in mind that the Kappa architecture (https://www.oreilly.com/radar/questioning-the-lambda-architecture/) was something that one evolved *to* from Lambda—and perhaps it's just a terminology difference—so it's interesting to see it the other way around.
-
This is a really useful write up of how Grab evolved their #apacheKafka-based ad-attribution reporting from a Kappa to Lambda architecture, including pros and cons of each.
📝 https://engineering.grab.com/attribution-platform
I always had in mind that the Kappa architecture (https://www.oreilly.com/radar/questioning-the-lambda-architecture/) was something that one evolved *to* from Lambda—and perhaps it's just a terminology difference—so it's interesting to see it the other way around.
-
This is a really useful write up of how Grab evolved their #apacheKafka-based ad-attribution reporting from a Kappa to Lambda architecture, including pros and cons of each.
📝 https://engineering.grab.com/attribution-platform
I always had in mind that the Kappa architecture (https://www.oreilly.com/radar/questioning-the-lambda-architecture/) was something that one evolved *to* from Lambda—and perhaps it's just a terminology difference—so it's interesting to see it the other way around.