Ten Use Cases to Enable an Organization with Metadata and Catalogs

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel.

However, as the tool-stack in most organizations is getting modernized, so is the variety of metadata generated. As the volume of data is increasing every day, thereupon, the metadata associated with data is expanding, as is the need to manage it.

The first thought that strikes us when we look at a data landscape and hear about a catalog is, “It scans any database ranging from Relational to NoSQL or Graph and gives out useful information.”

• Name
• Modeled data-type
• Inferred data types
• Patterns of data
• Length with minimum and largest threshold
• Minimal and maximum values
• Other profiling characteristics of data like frequency of values and their distribution

What Is the Basic Benefit of Metadata Managed in Catalogs?

1. Increased availability of intelligence about data that brings out better context to insights

2. The reduced turnaround time to find answers during the analysis

3. Increased efficiency of subject matter experts in turning out information for impact analysis

4. Removes ambiguity in relationships among data in the landscape

5. Simplifies the views of data through meaning, identified redundancy, and relationships

The uses of metadata have developed multi-folded over the last year, much of this attributed to technological advancements and public policy changes. Most enterprises are using catalogs for several use cases, such as the ones listed below.

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