Catalog of Catalogs
The Enterprise Self-Service Data & Analytics Platform
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Unified Enterprise Catalog
A comprehensive, unified catalog that seamlessly integrates and supports governed and ungoverned data across the enterprise. This catalog supports extensive data discovery, enhancing cross-functional collaboration and democratizing data access. Through this central catalog, users gain a holistic view of data assets, enabling them to make well-informed, data-driven decisions.
Data Model
A scalable and adaptable data model designed to support diverse data assets across your organization, from structured datasets to unstructured data and complex reports. This model provides a cohesive framework for managing all data assets under a unified architecture. With this approach, users can easily locate and access the information they need, boosting operational efficiency and analytical power across the enterprise.
Metadata Management
Integrated technical and business metadata management that covers data lineage, PII tagging, quality scoring, and access entitlements, ensuring a comprehensive governance layer. This approach not only enables consistent metadata governance but also enhances data transparency and compliance with regulatory requirements. The platform supports data classification and automated metadata updates, enabling a robust foundation for data integrity and accountability.
Data Governance Tools
Flexible API-driven integrations allow seamless bi-directional synchronization with industry-leading data governance solutions, ensuring centralized policy enforcement across platforms. Real-time updates keep governance policies consistent and compliant throughout the enterprise. With support for Collibra, Alation, OvalEdge, and more, these tools offer a unified, scalable solution to maintain data governance in an agile and adaptable way.
Data Mesh Tools
Embedded tools for direct integration with top data virtualization platforms like Starburst and Denodo, enabling real-time data access across domains. These tools promote collaboration on active metadata sharing and the publication of virtual data products. The data mesh framework supports a decentralized approach to data ownership, ensuring data remains accessible, secure, and contextually relevant within the enterprise.