Data Platform Shaper: An Advanced Catalog for Managing Data Platform Assets
Explore a highly configurable data catalog that manages data platform assets that is designed to be technology agnostic with a layered architecture.
In-depth articles discussing principles, practices, use cases, guides, and models that cover everything from Data Governance policies to Data Mesh architectures
Expand your knowledge below!
Explore a highly configurable data catalog that manages data platform assets that is designed to be technology agnostic with a layered architecture.
Discover the role of Data Mesh Observability in decentralized data ecosystems. Explore its conceptual aspects that can enhance data product quality.
Explore proactive data governance with Governance Shift Left. Navigate challenges, embrace strategies, and transform data management paradigms.
Unlock productivity & reduce cognitive load for data engineers with platform engineering. Streamline processes, enforce best practices, & automate...
Uncover insights from Paolo Platter, Co-Founder and CTO of Agile Lab, on future-proofing data mesh architecture in a Q&A with Data Mesh Learning.
Enhance Data Governance efficiency with the Governance Decision Record framework. Improve computational governance for structured data practices.
Companies commit errors by staking their Data Mesh implementation on technology when the entire paradigm shift is based on a technology-agnostic...
This article covers the theory of organizational culture and leadership as a framework to analyze and address cultural actions.
This contribution wants to shed a light on some of the limits that a Data Mesh implementation will experience sooner or later.
When it comes to modelling Data Products people go into panic. There are no clear rules, only some conceptual and not actionable indications.
How do we identify Data Products in a Data Mesh environment? Data Product Flow is can help you in answering the question.
Automation can help companies in reaching the scale of their Data Mesh journey