Fede Nolasco

Data Mesh and federated data governance

In the digital age, data is crucial for organizations to gain a competitive edge. Data Mesh is an emerging approach that decentralizes data ownership and governance, enabling business units to take control of their data. This article explores the basics of Data Mesh, its key principles, and how it can benefit organizations. It also discusses the challenges and criticisms associated with its implementation. Additionally, it outlines the structure, approach, and main tasks involved in implementing Data Mesh, and provides a list of software tools for managing metadata in a Data Mesh framework. Finally, it addresses the question of whether Data Mesh would be a good approach for a data science team, and showcases use cases of Data Mesh in various industries.

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DCAM and data management capabilities

Discover the benefits of implementing the Data Management Capability Model (DCAM) for your organization’s data management initiatives. Find out how DCAM provides a structured approach to assess and improve data management capabilities, along with its key components and industry-recognized best practices. Explore use cases, software tools, and the criticism surrounding DCAM.

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Data Management Framework

Discover key features, similarities, and differences between TOGAF, DCAM, and Data Mesh frameworks for effective data management and governance. Learn about other frameworks available to enhance data maturity and management practices. Choose the right framework for your organization’s specific needs and circumstances.

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