Guozhang Wang

Crazy LEGO Fan

[Confluent @confluentinc]

🥳️ We’re thrilled to share our Confluent Community Catalyst Class of 2022-2023! This incredible group of contributors are #datastreaming obsessed and invest relentlessly in the dev community. We can’t wait to see what you all achieve! https://t.co/45ALrJ5hQt

[Guozhang Wang @guozhangwang]

I had a great discussion with my colleague @tlberglund about my paper on stream processing consistency and completeness in @apachekafka in the #StreamingAudio podcast. Check it out: https://t.co/EuDjE6Yyqq

[Guozhang Wang @guozhangwang]

@MichaelDrogalis @confluentinc Congratulations MD!

[Michael Drogalis @MichaelDrogalis]

For all the good things databases can do, there’s something critical they can’t. I wrote an essay about the query your database can’t answer, and what it might take to get there. https://t.co/IqPz1nYrdl

[Guozhang Wang @guozhangwang]

Our #SIGMOD 2021 paper about #kafkastreams design principles for stream processing correctness is now available for download :)

[Confluent @confluentinc]

This white paper covers @apachekafka’s core design for stream processing, how @kafkastreams defines the processing logic as read-process-write cycles, and how Streams behaves with large-scale deployments, along with performance insights. Download it here: https://t.co/0n42qdPQno

[Confluent @confluentinc]

This white paper covers @apachekafka’s core design for stream processing, how @kafkastreams defines the processing logic as read-process-write cycles, and how Streams behaves with large-scale deployments, along with performance insights. Download it here: https://t.co/0n42qdPQno

[Guozhang Wang @guozhangwang]

@durvasa86 @apachekafka We are still working on it (camera-ready version and copy-right), will update here once we got news :)

[Guozhang Wang @guozhangwang]

Super excited that our paper "Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka" is accepted to #SIGMOD 2021! It's a great honor to share some amazing work done together with my colleagues and our partners.

[Guozhang Wang @guozhangwang]

If you are interested in learning more about the paper (camera-ready coming soon) as well as what we are doing in solving interesting problems in the streaming world, please do not hesitate to reach out to us!

[Confluent @confluentinc]

The @apachekafka community has spoken and Kafka 2.7 has been released! Read this blog post by @bbejeck to learn about new features, KIPS, and updates: https://t.co/sXutOR1Nh5

[Guozhang Wang @guozhangwang]

Simply, OMG

[Gone @Zusammengebaut]

Let's Play: #LEGO Super Mario 71374 #Nintendo Entertainment System (Part 2) https://t.co/8Pc84eMzHs

[Guozhang Wang @guozhangwang]

Thanks @gwenshap , that's indeed very good suggestions.. :)

[Gwen (Chen) Shapira @gwenshap]

Oh, and half the trick is to figure out what's new for the majority of your audience and adjust. For example, the majority of Apache Kafka users probably don't know the internals of Kafka Streams.

[Guozhang Wang @guozhangwang]

Kudos to Sophie!

[Matthias J. Sax 🦦 @MatthiasJSax]

Great work by my colleague Sophie!

[Matthias J. Sax 🦦 @MatthiasJSax]

Great work by my colleague Sophie!

[Guozhang Wang @guozhangwang]

Great work from my colleague @_RohanDesai on evolving @ksqlDB execution plan.

[ksqlDB @ksqlDB]

When @ksqlDB's engineering team ships new features to Confluent Cloud, persistent queries stay live – and correct. @_RohanDesai details how ksqlDB's execution plans make this feat possible: https://t.co/yxLC4kUCeD.

[Confluent @confluentinc]

In 3 HOURS join the Confluent-organized Virtual @apachekafka Meetup at 4:00pm (PDT) with Jason Gustafson and Boyang Chen. They will talk about how the community is setting the vision for #Kafka without #Zookeeper!

Join from wherever you are in the world: https://t.co/FtW6VGhaww

[Guozhang Wang @guozhangwang]

The #apachekafka #meetup will continue to be hosted online next week, Tuesday (21st) at 4pm, and this time we will present our most recent development on moving the metadata quorum management from Zookeeper into Kafka:

https://t.co/Gx5UBNaZMk

Hope to e-meet you there!

[Jay Kreps @jaykreps]

Many stream processing use cases amount to capturing event streams, continually computing some derived data set off of it, and then making that available for interactive queries from an app. @ksqlDB let’s you build this all in one system with just a few simple queries.

[Guozhang Wang @guozhangwang]

Big kudos to @l4ik8e who has driven to complete the repartitioning customization improvement to #kafkastreams (KIP-221)! It will be part of the upcoming 2.6 release of #apachekafka.

[Jay Kreps @jaykreps]

Confluent has a whole new look and feel and logo. I hope you like it as much as I do: https://t.co/viQuAA9gpX