Data Engineering
DataOps and Data Pipeline Automation
DataOps applies DevOps principles to the data domain: it standardizes and automates the development and operation of data pipelines, from ingestion through transformation and quality checks to controlled deployment. The result is faster delivery of data outputs, as well as greater reliability, auditability, and reusability of solutions.Â
Data Mesh in Practice: Implementation Using Domains
Data Mesh introduces a new way of working with data in large organizations: responsibility for data products shifts from a central team directly to the individual domains that know the data best. This article explains how to set up domain ownership, federated governance, and a self-service data platform in practice, ensuring that decentralization does not undermine unified standards. It also includes specific recommendations for technologies within the Microsoft Azure ecosystem to ensure a scalable and secure implementation.