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Data Governance at the Edge of the Cloud

Dataversity

With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […]. The post Data Governance at the Edge of the Cloud appeared first on DATAVERSITY.

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What is Data Architecture? A Look at Importance, Types, & Components

Astera

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Now, data quality matters.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Now, data quality matters.

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Data Governance Framework: What is it? Importance, Pillars and Best Practices

Astera

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

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None Shall Pass! Are Your Database Standards Too Rigid?

The Data Administration Newsletter

Database standards are common practices and procedures that are documented and […]. Rigidly adhering to a standard, any standard, without being reasonable and using your ability to think through changing situations and circumstances is itself a bad standard.

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An Introduction to Active Data Governance

Astera

Unlike passive approaches, which might only react to issues as they arise, active data governance anticipates and mitigates problems before they impact the organization. Here’s a breakdown of its key components: Data Quality: Ensuring that data is complete and reliable.