Giannis Polyzos
@ipolyzos_
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Streaming Product Architect @ Apache Flink πΏοΈ The Streaming Lakehouse π
Attiki, Greece
Joined November 2017
Understanding Apache Paimon's Consistency Model is out. One more table format down in this series. https://t.co/GcSNAAk3Xy
jack-vanlightly.com
Apache Paimon is an open-source table format that has come after the more established Apache Iceberg, Delta Lake and Apache Hudi projects. It was born in the Apache Flink project where it was known...
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If you're syncing Data from MySQL to Kafka, You can try #FlinkCDC way now ! https://t.co/PAauoPmd0B
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"Apache Paimon: Introducing Deletion Vectors" by @ipolyzos_ A deep-dive in a new #ApachePaimon feature but also a great introduction to the project https://t.co/qOCiAQIoPx
medium.com
Near real-time updates and extremely fast queries
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I'm digging into Apache Paimon now. Unfortunately, there is no spec/protocol doc, so diving into the code. I'm still in the "groping in the dark" phase of code reading. Initial impressions are that if Apache Iceberg, Apache Hudi and Delta had a baby, it might be Paimon.
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Thinking of introducing the ~ StreamingLedger ~ ~ we will see what it will look like π
π
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Summer comes to an end, batteries are fully charged and new things are into the making in the cloud native event streaming space with @apache_pulsar @ @streamnativeio . Stay tuned ...
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The folks from @streamnativeio are all in when it comes to community/meetups. Hope our paths will cross again soon!
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Latest release of Neutron (#ApachePulsar client for #Scala) ships with a lot of goodies, including: - Deduplication - Transactions - Consumer message rewind (seek) to a specific message id. - Documentation! /cc @apache_pulsar
https://t.co/EQSduYDbzQ
github.com
BREAKING CHANGES: A few send methods taking a MessageKey as argument were removed from Producer. π Changes docs: transactions (#34) @gvolpe transactions support (#32) @gvolpe producer: remove name...
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Apache Pulsar Client Application Best Practices by @ipolyzos_
link.medium.com
This blog is originally published on StreamNative.ioβ¦
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Why @testcontainers is a game changer? Tell me your opinion and examples of things that the tool made a lot easier/better for you. A bit of Before/After. #Testing
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New video! Streaming analytics with Apache Pulsar and Spark Structured Streaming - process events, analyze data and make decisions in real time: https://t.co/NYZEkcbDsM cc @petr_zapletal @ScalaTimes
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Integrating your streaming storage with your stream computing layer. Checkout my latest blog post on Apache Pulsar and Spark Structured Streaming https://t.co/00JCSkpwiJ
@streamnativeio @apache_pulsar @ApacheSpark @rockthejvm πππ
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ππ Best wishes from the StreamNative Team: π₯May the holiday season bring only happiness and joy to you and your loved ones. πMerry Christmas!
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Pulsar Functions combined with ZIO for processing on the fly, Flink SQL to deliver strong analytics and everythng deployed nicely and easily as part of a mesh. https://t.co/jb4hx5oMvF
https://t.co/AIJHUW4brt
https://t.co/v9e4zO1tBA
https://t.co/OI9MRnr01q βββ
zio.dev
Type-safe, composable asynchronous and concurrent programming for Scala
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Wrapping up the year i see a bright future for #streamingdata composing a state of the art modern data stack with @apache_pulsar and @ApacheFlink
@streamnativeio @VervericaData. Making it even more powerful when combined with ZIO in your processing layer @zioscala
@zivergetech
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