Data Governance involves managing and protecting data to ensure its quality, security, and privacy. It’s a vital aspect of any robust data architecture strategy. In the ‘Data Governance’ subcategory, we explore the various facets of data governance, including frameworks, best practices, challenges, and solutions. Whether you’re a data professional responsible for data governance, an IT leader, or a business executive aiming to understand how data governance impacts your organization, this subcategory provides insightful articles to guide you.
Data development projects, especially those involving multiple developers, languages, and platforms, can quickly become overwhelming without proper organization and consistency. One solution is to implement a style guide.
There are many tools that you can purchase to generate documentation, however, also costs money or requires an install on client machines or servers. I wanted something fast which would not leave a foot print or require weeks of negotiations to get installed. The T-SQL script generates an HTML document out of the schema results that you can paste into Word to kickstart the documentation process.
Explore the comprehensive guide to Data Governance Process. Learn about best practices, key components, and how to implement a successful data governance framework. Boost your data quality and management strategy and insights.
Discover how to enhance your GitHub projects with a Wiki using Markdown. This comprehensive guide provides step-by-step instructions on creating, formatting, and converting HTML to Markdown for seamless documentation. Improve your project’s user experience with our easy-to-follow guide.
With the announcement of Azure Purview, it is a great time to review some of the key features and provide a learning path made up of free online resources to help you get up to speed. This article will take you through an overview of Azure Purview by setting the stage focusing on Data Governance and providing links to the next steps.
