Data catalog tools are an important part of any successful data governance initiative. They help manage metadata for a variety of data sources, including databases, cloud lakes, file systems and more.

They also support data lineage to provide a clear view of the flow and dependencies of your data. This helps business users know which data they can use, when they can use it and for what purpose.

Moreover, they offer collaboration features that allow data users to share knowledge and build trust with other users. This creates a culture of sharing, which in turn, drives better data management.

A good catalog tool also lets you add any custom metadata attributes that are relevant to your organization, like data categories (sensitive, GDPR, PII related, track business owners), tags and more. Having all this information available in a single catalog is important because it allows you to search and understand your data much more easily and quickly.

Automated & Secure: Most modern-day catalogs have AI-supported auto-tagging capabilities that classify unstructured datasets and automatically retag them based on user-defined rules. This reduces the need for manual labor and ensures that only authorized users are able to access the data they need.

Built for Different Ecosystems: Some of the best data catalog tools are designed to work with specific data systems, such as Oracle or Azure. Others are independent and created with a range of ecosystems in mind.

Most of the top data catalog tools offer a wide range of features to support data management, including automated tagging, version control and more. This is especially helpful for organizations that are in the process of developing and maintaining a comprehensive data catalog.

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