Business Challenges

Business Challenges

  • Governance

    Inconsistent data system standards impact data exchange and sharing between different departments, and there are no great search tools to help service personnel find the data they need when they need it. If metadata fails to define data in business terms that are familiar to data consumers, the data is difficult to understand. When there are no good methods to evaluate and control data quality, it makes the data hard to trust.
  • Operations

    Data analysts and decision makers require efficient data operations. Having to repeatedly develop the same data wastes time, slows down development, and results in too many copies of the same data. Inconsistent data standards waste resources and drive up costs.
  • Innovation

    Data silos prevent data from being shared across departments or domains. Currently, most enterprises still primarily utilize their data for analytics and reporting. There is a long way to go before we have widespread, truly data-driven service innovation.

Functions

Functions

  • Data Integration

    Batch data migration, real-time data integration, and real-time database synchronization; 20+ heterogeneous data sources, and wizard-based configuration and management; per-table or entire database integration, as well as incremental and periodic data integration
    Batch data migration, real-time data integration, and real-time database synchronization; 20+ heterogeneous data sources, and wizard-based configuration and management; per-table or entire database integration, as well as incremental and periodic data integration
  • Data Governance

    Intelligent data planning, data quality monitoring, and data standardization; unified management and implementation of data models and data standards; higher-quality data to support better decision-making
    Intelligent data planning, data quality monitoring, and data standardization; unified management and implementation of data models and data standards; higher-quality data to support better decision-making
  • Asset Management

    Enterprise-class metadata management so that you can have trusted data assets; a data map available to show data lineage and a global view of your data assets; intelligent data search and operations monitoring
    Enterprise-class metadata management so that you can have trusted data assets; a data map available to show data lineage and a global view of your data assets; intelligent data search and operations monitoring
  • Data Development

    More accessible big data development environment, helping you quickly build big data processing centers; a complete data processing and analysis process from data modeling, data integration, script development, to workflow orchestration
    More accessible big data development environment, helping you quickly build big data processing centers; a complete data processing and analysis process from data modeling, data integration, script development, to workflow orchestration
  • Intelligent Service

    Standard data service platform; one-stop data service development, testing, and deployment; agile response to data service needs; easier data retrieval, better experience for data consumers, and higher efficiency; better monetization of data assets
    Standard data service platform; one-stop data service development, testing, and deployment; agile response to data service needs; easier data retrieval, better experience for data consumers, and higher efficiency; better monetization of data assets
  • All-round Visualization

    Visualized data governance process and drag-and-drop configuration, with no coding required; visualized processing results, facilitating interaction and exploration; visualized data asset management, supporting drill-down and source tracing, so you know where the data comes from
    Visualized data governance process and drag-and-drop configuration, with no coding required; visualized processing results, facilitating interaction and exploration; visualized data asset management, supporting drill-down and source tracing, so you know where the data comes from
  • Unified Scheduling

    Fully managed scheduling; time-based and event-based triggering mechanisms; flexible scheduling periods: by minute, hour, day, week, or month
    Fully managed scheduling; time-based and event-based triggering mechanisms; flexible scheduling periods: by minute, hour, day, week, or month
  • Unified O&M

    Task monitoring and notification settings on a GUI-based O&M center
    Task monitoring and notification settings on a GUI-based O&M center
  • Robust Security

    Unified authentication; tenant isolation; data grading and classification; data lifecycle management
    Unified authentication; tenant isolation; data grading and classification; data lifecycle management

Architecture


Product Advantages

Product Advantages

  • One-Stop Data Lake Operations Platform

    DGC is a one-stop data lake operations platform. It supports cross-domain data integration, development of data standards, data connections, and data services, data mining, comprehensive management of data assets, and intelligent data analytics and visualization. DGC can help you build an enterprise-class data lake governance platform.
    DGC is a one-stop data lake operations platform. It supports cross-domain data integration, development of data standards, data connections, and data services, data mining, comprehensive management of data assets, and intelligent data analytics and visualization. DGC can help you build an enterprise-class data lake governance platform.
  • Reusable Industry Knowledge Libraries

    DGC provides vertical industries with reusable industry knowledge libraries, including industry data standards, domain-specific models, as well as subject, algorithmic, and metric libraries. With DGC, end-to-end data operations solutions can be custom designed for a range of use cases, such as smart government, smart taxation, and smart campus.
    DGC provides vertical industries with reusable industry knowledge libraries, including industry data standards, domain-specific models, as well as subject, algorithmic, and metric libraries. With DGC, end-to-end data operations solutions can be custom designed for a range of use cases, such as smart government, smart taxation, and smart campus.
  • Robust Data Development

    DGC provides a flexible choice of scheduling policies and powerful scheduling capability. In addition to multi-person online collaborative development, it supports online editing and real-time query of SQLs and shell scripts, and job development using data processing nodes such as CDM, SQL, MR, Shell, MLS, and Spark.
    DGC provides a flexible choice of scheduling policies and powerful scheduling capability. In addition to multi-person online collaborative development, it supports online editing and real-time query of SQLs and shell scripts, and job development using data processing nodes such as CDM, SQL, MR, Shell, MLS, and Spark.
  • Comprehensive Data Quality Monitoring

    DGC helps you generate intelligent data processing code and monitor data quality throughout the process. It also sends real-time alerts if abnormal events occur.
    DGC helps you generate intelligent data processing code and monitor data quality throughout the process. It also sends real-time alerts if abnormal events occur.
  • Unified Management of Data Assets

    DGC supports a global view of data assets, fast query, intelligent asset management, data source tracing, and data integration and sharing. It allows enterprises to define business catalogs, classifications, and terms, and centrally manage asset access permissions.
    DGC supports a global view of data assets, fast query, intelligent asset management, data source tracing, and data integration and sharing. It allows enterprises to define business catalogs, classifications, and terms, and centrally manage asset access permissions.

Application Scenarios

  • One-Stop Data Lake Operations Platform

  • Building Cloud-based Data Platforms with Speed

  • Building Data Lake Governance Platform Powered by Industry Knowledge

One-Stop Data Lake Operations Platform

Overview

This one-stop data lake operations platform can be used for data collection, cleansing, modeling, connection, integration, consumption, visualization, and intelligent analysis. It helps you rapidly grow your enterprise's big data
operations.

Advantages

Job Orchestration for Multiple Cloud Services


Comprehensive Data Control and Governance


Diverse Data Engines

Support for interconnection with all HUAWEI CLOUD services relevant to the data lake and database, and with traditional data warehouses, such as Oracle and Greenplum

Ease of Use

GUI-based orchestration and out of the box availability

Building Cloud-based Data Platforms with Speed

Overview

DGC simplifies the building of a data lake governance platform, Migrating data to cloud services is easier and faster than ever before.

Advantages

Simple Data Integration

Quick integration of online and offline data into cloud data warehouses through simple configurations on a GUI

Support for Data Warehouse Services

Diverse data warehouse types available to fit your shifting demands, such as DWS, DLI, and HBase

High Security and Low Cost

A one-stop data lake operations platform and stable data warehouse services ensure efficient utilization of data from diverse sources; personnel are freed from building and maintaining big data clusters, dramatically reducing costs in data warehouse building.

Building Data Lake Governance Platform Powered by Industry Knowledge

Overview

Incorporating industry models and algorithms,
DGC can rapidly grow your enterprise's data lake operations capability.

Advantages

Industry-tailored Solutions

Custom designed solutions for government, taxation, smart city, smart transportation, and smart campus

Standards Compliance

Compliance with four-layer industry data standards

Various Domain Models

A variety of industry domain models developed from eight types of data, including people, organizations, events, spatio-temporal,
vehicles, assets, devices, and resources, and their relationships

Quick Utilization of Industry Libraries

Quick utilization of industry-specific subject libraries, algorithm libraries, and metric libraries 

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