She followed that up with an equally detailed and informative piece in December 2020, titled “Data Mesh Principles and Logical Architecture.” The data mesh is not just a technological concept for a ...

“We’re going all-in on GCP and using that as a foundational platform to build our data mesh architecture, and then we have Confluent Kafka supporting that as well as part of our journey ...

Cloud-based data lakes are the biggest repositories of data today, but they’re not the only place where data lives. By following the precepts of the data mesh architecture, Starburst aims to unify ...

However, when we implemented a real-time data architecture using technologies like Apache Kafka and cloud-native solutions, ... • Airbnb’s Data Mesh Architecture: ...

Data mesh is a new approach for designing data architectures by embracing organisational and data-centric constructs. The idea is that data should be Skip to content ...

A promising approach is Zhamak Dehghani’s “data mesh.” Principles defined in data mesh include domain-oriented decentralized data ownership and architecture, data as a product, self-serve data ...

Data Mesh Architecture. ... Tools like Kafka will enable businesses to make faster decisions and deliver personalized customer experiences. Low-Code/No-Code Data Engineering.

Kafka also has a strong affinity with big data technologies such as Hadoop, Spark, and Storm. Kafka seems ideal as a framework for handling the massive streams of data that are increasingly generated ...

A data mesh decentralizes ownership and turns data assets into products that become distributed companywide. “Data mesh is an architecture of scale,” Sawade said.