中文CyberData
Provide one-stop data development and governance from data collection to data services, covering comprehensive capabilities including offline, real-time, lakehouse, stream and batch processing integration.
Open architecture design with support for mainstream data sources and big data engines. Unified data integration, scheduling, and metadata management, supporting high availability and high throughput for large-scale enterprise lakehouse applications.
Based on cloud neutrality, it supports unified management of big data engines across different cloud environments, enabling a single codebase and one-click deployment to multiple clouds and engines.
Provide multi-dimensional permission control to ensure data security and controllability. Support data masking, auditing, risk alerting to ensure the secure and compliant use of data.
The basic version is open source, supports internationalization, and supports unified deployment in multiple environments and clusters, to meet the complex data usage scenarios of multinational enterprises.
Provide one-stop data development capabilities, to support the integration of mainstream storage and computing engines, and enable easy data processing workflows through a visual interface.
Support for various heterogeneous data sources, synchronization of structured and unstructured data, and easy data integration through a visual wizard or script mode.
Provide scheduling services with minute-level granularity. Support for cross-cloud, cross-center, cross-cluster, and cross-system scheduling.
Provide quality check, notification, and management capabilities for various heterogeneous data sources, to ensure seamless one-stop data development and governance.
Provide unified metadata services to manage all metadata and offer foundational support for data governance, which enables efficient management of data assets.
Provide data service capabilities to enable the full lifecycle management of service APIs, including creation, maintenance, publication, and monitoring.
Provide one-stop data development capabilities, to support the integration of mainstream storage and computing engines, and enable easy data processing workflows through a visual interface.
Support for various heterogeneous data sources, synchronization of structured and unstructured data, and easy data integration through a visual wizard or script mode.
Provide scheduling services with minute-level granularity. Support for cross-cloud, cross-center, cross-cluster, and cross-system scheduling.
Provide quality check, notification, and management capabilities for various heterogeneous data sources, to ensure seamless one-stop data development and governance.
Provide unified metadata services to manage all metadata and offer foundational support for data governance, which enables efficient management of data assets.
Provide data service capabilities to enable the full lifecycle management of service APIs, including creation, maintenance, publication, and monitoring.
Using CyberData, enterprises can rapidly achieve digital transformation. It provides comprehensive and tailored solutions for various business scenarios, enabling the digitization of core processes and systems. CyberData helps build an integrated data operation platform, driving data-driven decision-making and culture, and facilitating the intelligent digital transformation and upgrade of enterprises.
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