Best practices for enabling self-service analytics in a data mesh

Data consumers often depend on data producers and data engineers to onboard and access new, fresh and high quality datasets. Data mesh design dictates separation between data producers and data consumers to help build organizational autonomy and accelerate innovation with data.

In this session you will learn best practices for designing data pipeline workflows in a data mesh that enable data producers and data consumers to efficiently onboard data and utilize it within the organization. We’ll explore patterns for ingesting, modeling, transforming and loading datasets using a shared data contract.