[ Ссылка ] | Implementing a data mesh is not an instantaneous process but is rather a slow readjustment of an organization's technology and behavior to better align with high data stewardship standards. As Tim Berglund (Senior Director of Developer Experience, Confluent) imparts in this video, the four principles should be followed in order, one at a time. And while there may not be an obvious threshold that you ultimately cross with a fully intact mesh, you'll start to recognize its characteristics within your company as your practice grows.
Use the promo code DATAMESH101 to get $25 of free Confluent Cloud usage: [ Ссылка ]
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LEARN MORE
► Saxo Bank’s Best Practices for a Distributed Domain-Driven Architecture Founded on the Data Mesh: [ Ссылка ]
► Placing Apache Kafka at the Heart of a Data Revolution at Saxo Bank: [ Ссылка ]
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.
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Data Mesh 101: Implementing a Data Mesh
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