Data Mesh 101: Data as a Product

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Confluent

Confluent

Күн бұрын

cnfl.io/data-mesh-101-module-3 | Data as a product, the second principle of data mesh, further delineates the data deliverables for which each domain team is responsible. Follow along as Tim Berglund (Senior Director of Developer Experience, Confluent) covers how data makes its way into products, how it can be processed there, and how it is ideally shared with the larger organization.
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► Data Mesh Principles and Logical Architecture - Data as a Product: martinfowler.com/articles/dat...
ABOUT CONFLUENT
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion - designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io.
#kafka #streamprocessing #datamesh #apachekafka #confluent

Пікірлер: 3
@Confluent
@Confluent Жыл бұрын
To see the entire course and the immersive hands-on experience, check out 👉cnfl.io/data-mesh-101-module-1
@tnabizade
@tnabizade Жыл бұрын
Great video as usually. Unfortunately, I don't understand what was meant by: Regarding, change the data at source: You should not fix data up locally as you consume it… (for some reasons mentioned earlier). (10:00 from video). Can you maybe elaborate it? Do we man here that if through the input ports I receive data, and if it is not correct, then I should not update it before transforming and passing it to my output ports?
@ryanhaney
@ryanhaney 2 жыл бұрын
They've figured out how to clone Tim!
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