Key Elements for Metadata Management Tools in Data-Driven Enterprises
Driving Metadata Management
Almost every enterprise today is seeking to gain a competitive advantage by harnessing their data to make more data-driven decisions. But where do they even begin? How do you jump-start a data and analytics strategy? In the most pragmatic sense, you can’t begin without knowing what data you have in your possession. So how do you know what data you have and how do you ensure you have the momentum to stay ahead of your data? Core to a data strategy is a metadata management practice that includes metadata management tools with some very key elements. Those key metadata management tool elements include a data inventory, data lineage, the user experience, data enrichment, business rules, metadata exchange, support for security and privacy and a general means around managing complex deployments. All of these things and more are necessary to gain a competitive advantage for a data-driven enterprise.
Key criteria to look for in a metadata management tool
- Streamlined data inventory
- Data lineage insight
- Simple user experience
- Data enrichment automation
- Defined business rules
- Metadata exchange
- Support for security and privacy
- Expertise on complex deployments
Business semantics identify the relationships between data elements. Waterline Smart Data Catalog provides custom properties to connect the right data to the right people as part of a metadata management process. Automatic tagging based on business logic can be augmented through a rules engine to adapt to an enterprises business culture.
Support for Security and Privacy
Data privacy policies differentiate smart metadata management applications from other metadata management tools. Waterline Smart Data Catalog fulfills the metadata management criteria around security and privacy by leveraging the native data source security and permissions to ensure only those permitted can access and use data.
Metadata Exchange and Workflow Management
Ultimately, any metadata management application must be able import and export metadata efficiently. Waterline Smart Data Catalog lets you easily exchange metadata with BI tools, data prep tools, security tools, data governance tools, and single purpose, embedded catalogs. Importing business glossary terms and definitions from existing data glossaries or CSV files helps you leverage previous work. To complement inferred data lineage, it imports existing lineage information directly from Apache Atlas, Cloudera Navigator, and ETL tools. It can also export all tags and any tag associations assigned to individual sources and fields, to close the loop with data governance tools. REST APIs enable you to interoperate across your software ecosystem.
Keep Up-to-Date – Support for the Most Complex Systems
Maintaining a comprehensive, accurate machine learning data catalog of enterprise data assets helps transform your business into a powerful data-driven enterprise. Scaling metadata management for big data requires automation to power continuous updates and prevent data swamps. Waterline Smart Data Catalog continuously updates metadata as data is created, collected, or changed, using automated discovery and machine learning to keep up with the flow and scalability of data across the enterprise. It enables you to respond quickly to evolving regulations, reducing your risk of fines and protecting your brand.