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Data Dictionary: What is it? Examples, Templates and Definition
Dive into data dictionaries: understand their definition, critical role in data management, and diverse applications.
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Bridge the gap between data and business by creating a shared vocabulary for clear insights.
Define and manage a central repository of your organization's key data terms. Create glossaries, categorize terms, and add detailed definitions – all within a user-friendly interface. This fosters a shared understanding of your data landscape, ensuring everyone is on the same page when working with critical information.
Add ownership to terms, ensuring accountability and clear communication. Rich-text descriptions allow for detailed explanations, fostering a deeper understanding of each term's context and usage. Furthermore, assigning domains helps categorize terms logically, while the ability to link related terms strengthens the overall knowledge base within your Glossary.
Write your own tests with SQL scripts to set up monitoring specific to your needs.
Find where the incident took place and replicate events for faster resolution times.
Enable monitoring across multiple tables within sources by our one-page bulk config.
Choose which fields to monitor with 12 available test types such as null%, regex_match, cardinality etc.
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Thresholds for table tests such as Volume and Freshness are auto-detected by our system once data source is connected.
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Alerts are grouped so we don't spam you 100s of notifications. We also deliver them directly to your email or Slack.
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Always experience missing data? Check for data-diffs between any two datasets such as your staging and production tables.
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