Big Data Products

Data Governance Platform (DIG)

Data Governance Platform (DIG)

The Data Governance Platform (DIG) is designed for system construction such as big data platforms or data lakes in data centers, helping customers uniformly scan and register metadata from various types of databases. It forms a complete governance chain around online modeling, data processing scheduling, quality auditing, and data service publishing. Customers can start with metadata and model management, gradually expand to data processing and quality control, and ultimately achieve asset management and service openness.

Core Capabilities

Unified Metadata Scan and Registration Management: Scans metadata such as tables, fields, views, and jobs in databases, and performs unified registration, retrieval, and management.

Unified Data Modeling Management: Supports online data modeling, model design, field specifications, and model publishing, making the data model construction process manageable, reusable, and traceable.

Visual Data Processing and Scheduling: Provides a visual operation platform to complete data collection, cleaning, transformation, and processing flow design, and orchestrates scheduled or event-triggered scheduling.

Data Quality Rule Configuration and Auditing: Configures quality rules for completeness, accuracy, consistency, and timeliness through interface operations, automatically executes audits, and tracks issue remediation.

Standardized Data Service Publishing: Registers governed data as assets and encapsulates data into data query interfaces, file services, or APIs for secure invocation by external systems, reports, and AI applications.