Introduction

Blindata’s Metadata Management Tutorials and User Guides serve as your comprehensive resource to navigate and harness the full potential of our metadata management capabilities. In this space, we provide step-by-step instructions, best practices, and insights to empower you in effectively managing, organizing, and extracting value from your metadata.

Navigating the Guides

Our tutorials cover a diverse range of topics, from the fundamentals of metadata creation to advanced techniques for establishing semantic relationships and enforcing data quality standards. Whether you are a beginner seeking a foundational understanding or an experienced user looking to optimize your metadata processes, you’ll find relevant guidance here.

Explore the tutorials and user guides tailored to your needs. Gain proficiency in defining business glossary terms, linking catalog assets, automating metadata extraction, and much more. Each guide is designed to empower you with the skills necessary to quickly understand how Blindata works.

• Business Glossary:

  • Master the tools for defining and managing business entities, concepts, and terms with precision.

  • Explore Data Categories to categorize and organize business entities, fostering a structured metadata approach.

  • Define terms with specific attributes, such as format, naming convention, and computational rules.

  • Build logical relations between concepts, enhancing the understanding of interdependencies.

• Data Catalog:

  • Efficiently manage data catalog assets, including Systems, Entities, and Fields.

  • Learn to link catalog assets to Business Glossary terms manually, via spreadsheet upload, or through automated data classification.

  • Explore the configurations of Automated Metadata Crawling for systematic extraction of metadata from source systems.

  • Dive into the management of Constraints, Foreign Keys, and ER diagrams for enhanced data governance.

  • Understand the details of Routines, Scripts, and Stored Procedures, both imported and defined manually.

• Data Products:

  • Explore tutorials that focus on the creation, management, and optimization of data products aligned with your data ops activities.