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Data Dictionary vs. Data Glossary - How are they different? 

Atlan
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What's the difference between a data dictionary and data glossary? While they sound similar, these metadata repositories serve different purposes for organizations. In this video, learn exactly how data dictionaries and glossaries enable data governance and collaboration across teams.
We'll explore the unique scope, target audience, and use cases for each artifact. Data dictionaries provide technical metadata about database structures and systems, making them ideal for IT teams. Data glossaries contain business definitions and make data more accessible to business users.
Modern data catalogs bring these critical metadata components together in one platform. With a catalog, teams can maximize data discovery while maintaining governance.
Going beyond definitions, we'll see how dictionaries, glossaries, and catalogs power real data strategies. Collaboration gets a boost when cross-functional teams can find, understand, and govern data in one place. The video also discusses how automation features in catalogs help scale data governance efforts.
Stewardship and ownership become actionable when stewards have tools to manage policies and access. Onboarding improves when new users can start from a central metadata resource.
Whether you're implementing a new governance program or looking to improve an existing one, this video will demonstrate how data dictionaries, glossaries, and catalogs work together to ensure data quality, consistency, and availability across the organization. Learn how modern tools like Atlan provide comprehensive metadata management to drive insights and innovation with trustworthy data.
The video provides viewers with a clear understanding of dictionaries vs. glossaries. It also shows how modern catalogs bring technical and business metadata together for greater governance, collaboration, and decision making.
Atlan - The Only Data Catalog That Activates Your Metadata
Atlan is the leading active metadata platform for modern data teams. It creates a single source of truth by acting as a collaborative workspace for data teams and bringing context back into the tools where data teams live. Atlan features deep integrations across the modern data stack, including Slack, Snowflake, dbt Labs, Fivetran, Redshift, Looker, and Tableau. A pioneer in the space, Atlan was named a Leader in the Forrester Wave™: Enterprise Data Catalogs for DataOps and was recognized by Gartner seven times in 2021.
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Chapters ⌛
00:00:00 - Intro
00:00:03 - What is a data dictionary?
00:00:31 - What does a data dictionary include?
00:01:29 - What is a data glossary?
00:02:13 - What does a data glossary include?
00:03:30 - How are data dictionary and data glossary different?
00:03:44 - Difference in scope between data dictionary and glossary
00:04:13 - Audience and owners for data dictionary and glossary
00:04:44 - Purposes of data dictionary and glossary
00:05:21 - How do these enable a data governance strategy?
00:05:52 - Number 1: Collaboration for data governance
00:06:21 - Number 2: Automation for data governance
00:06:53 - Number 3: Stewardship and ownership for data governance
00:07:47 - Number 4: Training and education using data glossary, dictionary and catalog
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17 авг 2024

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