DoK Talks #138 - Build your own social media analytics with Apache Kafka // Jakub Scholz

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The Charcuterie Prose (The Lichual pt 1/2) 1:18:10

21 weeks پیش1:18:10

پخش در آینده

لیست ها

پسندیدن

دوست داشته شد

1:18:10

Riddles, troikas, and food references abound! After a forbidden scroll is removed from the Arcane Library from the city of Eltin, a ragtag group of adventurers is dispatched to track it down. Join our party on their mysterious adventure, as Melony Melons tries to make friends, Agent Peaches searches for his next big story, Fromage passes some hot cheese samples to anyone who will listen, and Metzger Abbatoir tries to convince everyone he isn’t his father’s son. Starring: Nathan Zimmerer - Melony Melons Kyle Kane - Agent Peaches Shea Ingram - Metzger Abbatoir AKA Bouchet Chris Arr - Fromage Josh Greenway - The Dungeon Newbie Based on the Unraveled one-shot from Roll & Play Press https://rollandplaypress.com Edited by Josh Greenway Sound Effects provided by Pixabay.com Music Josh Greenway & Mark Canning Clavier Clavier ⁠https://pixabay.com/users/clavier-music-16027823⁠ Kellepics ⁠⁠Https://pixabay.com/users/kellepics-4893063…

۳ سال پیش 56:25

M4A•خانه قسمت

https://go.dok.community/slack
https://dok.community

ABSTRACT OF THE TALK
Apache Kafka is more than just a messaging broker. It has a rich ecosystem of different components. There are connectors for importing and exporting data, different stream processing libraries, schema registries and a lot more.

The first part of this talk will explain the Apache Kafka ecosystem and how the different components can be used to load data from social networks and use stream processing and machine learning to analyze them.

The second part will show a demo running on Kubernetes which will use Kafka Connect to load data from Twitter and analyze them using the Kafka Streams API.

After this talk, the attendees should be able to better understand the full advantages of the Apache Kafka ecosystem especially with focus on Kafka Connect and Kafka Streams API. And they should be also able to use these components on top of Kubernetes.

BIO

Jakub works at Red Hat as Senior Principal Software Engineer. He has long-term experience with messaging and currently focuses mainly on Apache Kafka and its integration with Kubernetes. He is one of the maintainers of the Strimzi project which provides tooling for running Apache Kafka on Kubernetes. Before joining Red Hat he worked as messaging and solution architect in the financial industry.

KEY TAKE-AWAYS FROM THE TALK

The key takeaway of this talk is that Apache Kafka is more than just a messaging broker. It is a platform and ecosystem of different components which can be used to solve complex tasks when dealing with events or processing data. The talk demonstrates this on loading tweets from Twitter and processing them using the different parts of the Kafka ecosystem. The whole talk and its demos are running on Kubernetes using the Strimzi project. So it also shows how to easily run all the different components on top of Kubernetes with the help of few simple YAML files.

243 قسمت

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DoK Talks #138 - Build your own social media analytics with Apache Kafka // Jakub Scholz

Data on Kubernetes Community

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published ۳ سال پیش

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M4A•خانه قسمت

https://go.dok.community/slack
https://dok.community

The second part will show a demo running on Kubernetes which will use Kafka Connect to load data from Twitter and analyze them using the Kafka Streams API.

BIO

KEY TAKE-AWAYS FROM THE TALK

243 قسمت

#Tech #Demetrios

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Data on Kubernetes Community

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۳ years پیش58:05

58:05

https://go.dok.community/slack https://dok.community We are going to speak about CRDs, and discuss considering them as higher level entities that we normally consider them. CRDs normally are kind of a byproduct of an operator. But in reality, they can be considered as the user-facing API of the operator surface. And as such, we would like to introduce conversations about even standardizing some of them, or creating "specifications" out of some CRDs. Take this for example: there are some CRDs that could be, potentially, common across multiple operators. Think of a CRD to represent an S3 (or any other storage object) bucket. For operators that store data in object stores, each and every one of them are creating their own versions. But shouldn't we have some "standardized" `ObjectStorage` CRD, without a controller, that all could use? We'll be joined by John Sanda of DataStax who works on the K8ssandra project, Alvaro Hernandez who is the CEO of Ongres and Postgres superhero, and Eyar Zilberman Co-Founder and Chief Product Officer at Datree.…

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Data on Kubernetes Community « » DoK Talks #138 - Build your own social media analytics with Apache Kafka // Jakub Scholz

DoK Talks #138 - Build your own social media analytics with Apache Kafka // Jakub Scholz

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DoK Talks #138 - Build your own social media analytics with Apache Kafka // Jakub Scholz