Global Modeling is a data modeling framework that elevates data modeling practices. It is ideal for enterprise organizations adopting modern data approaches such as data mesh. This unified strategy achieves consistent data models across teams in order to improve data integrity, enhance visibility, and deliver high-quality data designs at scale.
Global Search, the first pillar of Global Modeling, introduces an innovative approach to data object exploration. It revolutionizes the way data professionals navigate and access data structures, bridging the boundaries of specific domains.
Global Reference enables large organizations to divide their data models into more manageable units while offering reference (read-only) access to specific objects, even across multiple database platforms. This breakthrough not only promotes collaboration but also streamlines data sharing and cross-functional insights.
Global Lineage serves as the pillar that provides comprehensive visibility into the intricate journey of data, from its source to its ultimate destination. It meticulously tracks source-to-target mappings at the column level, ensuring end-to-end data flow visibility across diverse databases, ETL/ELT processes, and reporting tools. This level of insight is invaluable for understanding data's trajectory within an organization.
Global Standards ensure that data models adhere to standardized guidelines, formats, and conventions, promoting interoperability and compatibility across different domains and projects. By implementing Global Standards, organizations can streamline their data modeling processes, reduce errors, and enhance collaboration among teams working on various data initiatives