2024年10月25日 · A data dictionary includes technical metadata such as data object names and definitions, properties, business rules for validation, reference data, missing data, and more. The article looks into the components of a data dictionary, its benefits, setup process, and …

A data dictionary describes the contents of a data set — think of it as a README file for data — and is technical in nature. It describes each table and field in databases, spreadsheets, etc., and can include some higher-level metadata , such as data types.

2023年11月23日 · A data dictionary is a centralized repository of metadata that provides definitions, usage, and context for data elements. It helps ensure that data is consistently understood and used across the organization, promoting collaboration, transparency, and …

2023年10月3日 · A data dictionary provides a clear understanding of the underlying data, ensuring that the data product’s developers, analysts, and stakeholders are all on the same page regarding the data’s meaning, format, and constraints.

Atlan’s data dictionary helps you build a 360° data profile to understand your data better, search and discover data faster, and collaborate in and around data assets. Now, let’s have a look at the key data dictionary capabilities of Atlan: Auto-generated data dictionary #

2023年10月18日 · Learn how a data dictionary helps implement effective data governance strategies with practical examples and considerations for its deployment. New Atlan named a Visionary in the 2025 Gartner® Magic Quadrant™ for Data and Analytics Governance.

A data glossary or a business glossary is the bridge between the IT and the business teams — those who maintain and create data, and those who use data to drive actions. If you do not understand the data or cannot locate it quickly, you can never use it effectively.

2023年12月15日 · Data mining and data science are two closely related but distinct fields within the realm of data analysis. Data mining is a specialized subset of data science that primarily focuses on discovering hidden patterns and insights within existing datasets.

2023年8月16日 · The default metadata model stores basic data dictionary metadata, tags, classifications, comments, etc. You can customize the metadata model to add more fields by changing the metadata service APIs and the database schema.

2023年3月20日 · The main difference between a data catalog and a business glossary is that a business glossary helps you define a common language or way to talk about the data in your organization. A data catalog on the other hand helps you navigate through the entire data ecosystem in your organization.