Finding it tricky to differentiate data dictionaries, glossaries, and catalogs? In this beginner-friendly video, you'll get a clear breakdown of each concept, their unique purposes, and how they work together to enable data governance, discovery, and analytics. No more confusion!
First, get simple definitions. A data dictionary is a technical metadata repository. It provides details like data structures, types, and constraints. A data glossary contains business definitions and terms. This promotes understanding across teams. Finally, a data catalog acts as a hub for discovering, understanding, and using data assets.
Next, learn key differences across three areas - scope, users, and use cases. Data dictionaries focus on technical users and database management. Data glossaries focus on business terminology for non-technical users. Data catalogs bridge the technical and business realms. They provide integrated context for diverse data needs.
See how all three artifacts work together to enable:
- Cross-team collaboration with shared definitions and access
- Automating governance at scale through collected metadata
- Data stewardship and ownership policies within the catalog
- Onboarding and training new users with searchable information
A modern data catalog integrates these capabilities into a single source of truth. This allows both technical and business users to unlock the full value of data.
This video delivers clarity on:
- The core purposes of dictionaries, glossaries, and catalogs
- How they complement each other for different needs
- The crucial role catalogs play in analytics and governance
These are actionable insights for any data leader, analyst, engineer or IT pro. Watch now to maximize the business impact of data in your organization. Gain a proven framework to drive better analytics, governance and competitive advantage.
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 ⌛
00:00:36 - What is a data dictionary?
00:01:02 - What does a data dictionary include?
00:02:03 - What is a data glossary?
00:02:46 - What do data glossaries include?
00:03:54 - What is a data dictionary?
00:04:22 - Key features of a data catalog
00:04:41 - Data catalogs for data discovery
00:05:05 - Modern data catalogs for column-level data lineage
00:05:28 - Modern data catalogs for collaboration
00:05:51 - Access control using modern data catalogs
00:06:43 - Scope of data glossary vs. dictionary vs. catalog
00:07:22 - Audience and ownership - data glossary vs. dictionary vs. catalog
00:08:14 - Purposes of data glossary vs. dictionary vs. catalog
00:09:26 - 4 ways to enable an effective data governance strategy
00:09:49 - Number 1: Collaboration for data governance
00:10:18 - Number 2: Automation for data governance
00:10:52 - Number 3: Stewardship and ownership for data governance
00:11:46 - Number 4: Training and education using data glossary, dictionary and catalog
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14 июл 2024
