Data Mesh 101: What is Data Mesh? скачать в хорошем качестве

Data Mesh 101: What is Data Mesh?

https://cnfl.io/data-mesh-101-module-1 | Follow along as Tim Berglund (Senior Director of Developer Experience, Confluent) introduces the hyper-new concept of data mesh in a Learn Kafka Course on Confluent Developer. Data mesh encourages both technological and organizational change with the end goal of making data better curated and more accessible throughout a company. Watch as Berglund introduces data mesh's four principles: data ownership by domain, data as a product, data available everywhere by self-serve, and data governed where it is. These principles will be further explored throughout the Data Mesh 101 course. Use the promo code DATAMESH101 to get $25 of free Confluent Cloud usage: https://cnfl.io/try-cloud-with-data-m... Promo code details: https://cnfl.io/promo-code-disclaimer... LEARN MORE ► What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani: https://developer.confluent.io/podcas... ► An Introduction to Data Mesh: https://www.confluent.io/blog/benefit... ► The Definitive Guide to Building a Data Mesh with Event Streams: https://www.confluent.io/blog/how-to-... ► A Complete Guide to Data Mesh: https://developer.confluent.io/learn/... ► Why Data mesh? ft. Ben Stopford: https://developer.confluent.io/podcas... ► What is Data Mesh?: https://developer.confluent.io/learn/... ► Kafka Summit: Apache Kafka and the Data Mesh: https://www.confluent.io/events/kafka... 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