Discover Data Catalog Software with dependency diagrams, inheritance diagrams, and knowledge graphs, to list just a few.
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|
Here’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.
The 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
To create a data catalog, start by identifying all the data sources within your organization, including databases, files, and applications. Then, gather metadata about each data source, such as its name, description, format, and owner. Organize this information into a centralized repository, categorizing and tagging the data based on relevant criteria. Consider using data catalog software or tools to automate this process and enhance data discoverability and governance. Lastly, ensure regular updates and maintenance of the catalog as new data sources or changes occur.
In SAP, a data catalog refers to a centralized repository that provides metadata information about data objects within the SAP ecosystem. It helps users discover, understand, and manage various types of data, including tables, views, functions, and more. The SAP Data Catalog allows users to explore and search for data objects, view their attributes, relationships, and business context, and gain insights into the data landscape of their SAP environment.
Data catalog software refers to tools or applications designed to create, manage, and organize metadata about an organization’s data assets. It provides functionalities such as data discovery, data lineage, data quality assessment, and collaboration features. Data catalog software aims to improve data governance, enhance data accessibility, and enable self-service data exploration and analysis.
When choosing data catalog software for a small business, consider factors such as cost, ease of use, scalability, integration capabilities, and specific needs of your business. Look for solutions that offer a user-friendly interface, support various data sources and formats, and provide adequate data governance features within your budget. Additionally, consider the flexibility to expand and integrate the software with other systems as your business grows.
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