Summary: Metadata and Metadata Management

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What is Metadata?

Metadata is data that provides information about other data. In the context of databases, data warehousing, and business intelligence systems, three main types of metadata are considered:


Technical Metadata:


Defines data structures in repositories or platforms from a technical perspective.

Examples include tables, data catalogs, and specialized tables like the System Catalog in relational databases.

Process Metadata:


Describes processes behind business systems, monitoring aspects like start/end times, disk usage, data movement, and user access.

Crucial for troubleshooting and optimizing workflows.

Business Metadata:


Focuses on data discovery for business users.

Information about data in easily interpretable ways, covering acquisition, measurements, connections to other sources, and serving as documentation.

Managing Metadata:


Involves developing policies and processes for accessing, integrating, and sharing information across the enterprise.

A reliable, user-friendly data catalog is a central component, facilitating data system inventory and organization.

Web-based user interfaces enhance search capabilities for key attributes.

Why is Metadata Management Important?


Enhances data discovery, repeatability, and governance.

Facilitates understanding of business context and data lineage, crucial for data governance.

Supports data management throughout the enterprise, ensuring data quality, consistency, integrity, and security.

Popular Tools for Metadata Management:


IBM InfoSphere Information Server

CA Erwin Data Modeler

Oracle Warehouse Builder

SAS Data Integration Server

Talend Data Fabric

Alation Data Catalog

SAP Information Steward

Microsoft Azure Data Catalog

IBM Watson Knowledge Catalog

Oracle Enterprise Metadata Management (OEMM)

Adaptive Metadata Manager

Unifi Data Catalog

data.world

Informatica Enterprise Data Catalog

Key Takeaways:


Metadata management is essential for data governance, ensuring high data quality and supporting business objectives.

Well-managed metadata enhances data discovery, repeatability, and access to data.

Metadata tools, such as IBM InfoSphere Information Server and Watson Knowledge Catalog, play a crucial role in effective metadata management.




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