As data-related demands increase within enterprises, the data landscape becomes more complex and distributed, pushing organizations to shift their data management practices from managing data to managing metadata.
For a leading Data Governance Company, we equipped their Data Catalog Software with dependency diagrams, inheritance diagrams, and knowledge graphs, to list just a few.
|Client||Data Governance Company|
|Business need||data management tool with dependency diagrams and knowledge graphs|
|Scope||interactive UX mockups, UI implementation|
ere’s a visual presentation of data placed in various data bases and data warehouses. Categorized with AI into data sets and presented visually in swimlanes. Each node comes with a collapsable property section. The mechanism is equipped with a detection algorithm to ensure proper re-layout in any view.
he graphic visually represents the data organization and relationships with various databases and data warehouses. Each parent node can lead to many other nodes and vice versa. The advanced layout is based on a custom diagram layout.
This view presents an indefinitely expanded diagram built with graphQL API. Virtualization is activated with several thousand nodes, so there is no need to render everything visible on the screen. An applied minimap facilitates navigation.
Data Governance Companies deal with the changing data-related demands daily. As the data landscape becomes more complex, large organizations shift their data management practices into managing metadata.
The leading Data Governance Company, the various types of diagrams as data-related demands, increase within enterprises. The data landscape becomes more complex and distributed, pushing organizations to shift their data management practices to managing metadata.
Data management tool with advanced types of diagrams
Interactive and easy-to-use components for smooth communication
Dependency, inheritance, and knowledge graphs for better data understanding