Data Lake Governance

Data Lake Governance (DLG) is a one-stop data governance platform. It offers diverse functions such as unified metadata management, intelligent data analysis, management and implementation of data warehouse standards and service standards, intelligent data quality monitoring, and data quality improvement. DLG can integrate with various core EI services, such as MRS, DWS, DLI, CloudTable, and MLS.

  • The DLG console has been integrated with the DAYU console. DAYU provides you with comprehensive one-stop data operation and management capabilities.
Product Advantages
  • One-Stop Governance

    One-stop management of metadata, data standards, data quality, and data security is supported.

  • Broad Compatibility

    Governance is performed for diverse EI big data core services, such as MRS, DWS, DLI, CloudTable, and MLS, based on multiple big data platforms to meet different data warehouse requirements.

  • Global Asset Management

    Service assets and technical assets are managed in a unified manner. Global asset view, data source tracing, and data sharing are supported.

  • Intelligent Data Planning

    Intelligent Data Planning applies the data system design methodology forged from years of accumulated expertise into products to define data standards, design data metrics and models, and build themed databases of the middle ground, helping enterprises standardize data governance and accelerating implementation of the enterprises' middle grounds.

Functions

  • Metadata Management

    Cornerstone of DLG

  • Data Map

    A global view of data assets

Metadata Management

Automatic metadata collection from data sources and customizable collection policies

Periodic scheduling and real-time task monitoring

Data Map

Unified management of service and technology assets

Asset search, association, classification, as well as data lineage, allowing users to view and use assets from the service perspective

  • Metric Management

    Effective tool for managing the quality of service metric data

  • Data Quality Management

    Tool for managing the quality of data in databases

Metric Management

Flexible creation of service metrics, rules, and scenarios

Real-time and periodic scheduling, addressing data quality monitoring requirements

Data Quality Management

Single-column, cross-column, cross-row, and cross-table analysis from six dimensions: integrity, validity, timeliness, consistency, accuracy, and uniqueness

  •  Periodic data monitoring and cleansing

Support for data cleansing and standardization, and automatic generation of quality rules for data cleansing and standardization based on data standards

Application Scenarios
  • Metadata Collection and Asset Analysis

  • Global Quality Management

Metadata Collection and Asset Analysis

Metadata Collection and Asset Analysis

DLG automatically collects data information and associates it with service information. In this way, a complete view of information assets is presented, facilitating asset management, data source tracing, and data sharing.

Advantages

Abundant Data Sources

Various data sources, such as Hive, DLI, DWS, RDS, and CloudTable are supported.

Flexible Scheduling

Manual scheduling and periodic scheduling are both supported.

Data Source Tracing

Data flow direction is analyzed based on the linkage for quickly responding to service data issues.

Global Quality Management

Global Quality Management

DLG is used for asset management, monitoring, and quality improvement, and provides diverse technology methods for service analysis and optimization, and knowledge accumulation, helping enhance business value.

Advantages

Flexible Scheduling

Real-time scheduling and periodic scheduling are both supported.

Abundant Data Sources

Various data sources, such as Hive, DLI, DWS, RDS, and CloudTable are supported.

Overall Data Management

Data analysis, cleansing, and standardization are supported.

Automatic

Cleansing and standardization quality rules are automatically generated based on data standards.

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