Roland Mackert

The journey towards Data Mesh - Exploring the available options

A central topic of the podcast episode is the concept of the data mesh, developed by Zhamak Dehghani. Data Mesh breaks down traditional, monolithic and centralized data structures and looks at data from a new perspective. The concept is based on four principles: Domain ownership, viewing data as a product, promoting self-service and supported governance. Both experts discuss various use cases that are made possible by this type of data integration. One example is the correlation of sales and production data in order to compare customer information and carry out analyses. Another example is the “product carbon footprint”, where data from various sources such as ERP systems and production data must be merged. Finally, Stephan Schiffner and Roland Mackert emphasize the advantages of decentralized data approaches. These enable companies to access their data flexibly and efficiently and use it for business decisions and analyses. Starburst Data’s technology, which is based on the Trino SQL query engine, plays a decisive role in this.