Business Challenges

Business Challenges

  • Governance

    Inconsistent data system standards impact communications between different departments, and there are no great search tools to help service personnel locate the data they need when they need it. If service metadata is not mapped on to various technical assets, 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. The way data is applied by enterprises is still in a very early stage. There is a long way to go before we have widespread, 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; A single table, entire database, and 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; A single table, entire database, and 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; Data quantity improvement and effective decision-making
    Intelligent data planning, data quality monitoring, and data standardization; Unified management and implementation of data models and data standards; Data quantity improvement and effective decision-making

  • Asset Management

    Enterprise-class metadata management for clarifying information assets; A data map available to display a data lineage and view of data assets; Intelligent data search and operation monitoring
    Enterprise-class metadata management for clarifying information assets; A data map available to display a data lineage and view of data assets; Intelligent data search and operation monitoring

  • Data R&D

    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, test, and deployment; Agile response to data services for reduced data acquisition difficulty and improved data consumption experience and efficiency; Monetization of data assets
    Standard data service platform; One-stop data service development, test, and deployment; Agile response to data services for reduced data acquisition difficulty and improved data consumption experience and efficiency; Monetization of data assets

  • All-round Visualization

    Visualized data governance process and drop-and-drop configurations, with no coding required; Visualized processing results, facilitating interaction and exploration; Visualized data asset management, supporting drill-down and source tracing
    Visualized data governance process and drop-and-drop configurations, with no coding required; Visualized processing results, facilitating interaction and exploration; Visualized data asset management, supporting drill-down and source tracing

  • Unified Scheduling

    Fully managed scheduling; Time-based and event-based triggering mechanisms; Scheduling periods by minute, hour, day, week, and month
    Fully managed scheduling; Time-based and event-based triggering mechanisms; Scheduling periods by minute, hour, day, week, and month

  • Unified O&M

    Task monitoring and notification settings on the visualized task O&M center
    Task monitoring and notification settings on the visualized task O&M center

  • Robust Security

    Unified security authentication; Tenant isolation; Data grading and classification; Data lifecycle management
    Unified security authentication; Tenant isolation; Data grading and classification; Data lifecycle management

Architecture


Product Advantages

Product Advantages

  • One-Stop Data Operations Platform

    DAYU is a one-stop data operations platform for the entire data lifecycle. It supports cross-domain data integration, development of data standards, data connections, value extraction, comprehensive management of data assets, intelligent data analysis and visualization, and data service openness. DAYU can help your enterprise establish a comprehensive data operations platform.
    DAYU is a one-stop data operations platform for the entire data lifecycle. It supports cross-domain data integration, development of data standards, data connections, value extraction, comprehensive management of data assets, intelligent data analysis and visualization, and data service openness. DAYU can help your enterprise establish a comprehensive data operations platform.

  • Reusable Industrial Knowledge Bases

    DAYU provides vertical industries with reusable industry knowledge bases, including industry data standards, domain models, and subject, algorithm, and metric libraries. With DAYU, industries such as smart government, tax collection, and smart campus can quickly formulate end-to-end data operations solutions custom designed to their individual needs.
    DAYU provides vertical industries with reusable industry knowledge bases, including industry data standards, domain models, and subject, algorithm, and metric libraries. With DAYU, industries such as smart government, tax collection, and smart campus can quickly formulate end-to-end data operations solutions custom designed to their individual needs.

  • Robust Data Development

    DAYU can delight customers with a wide range 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.
    DAYU can delight customers with a wide range 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.

  • All-Link Data Control and Governance

    With support for data lifecycle management, defining data standards, and visualized model design, DAYU helps you generate data processing code with intelligence and monitor data quality throughout the process. It also sends real-time notifications if abnormal events occur.
    With support for data lifecycle management, defining data standards, and visualized model design, DAYU helps you generate data processing code with intelligence and monitor data quality throughout the process. It also sends real-time notifications if abnormal events occur.

  • Unified Management of Data Assets

    DAYU supports global asset display, quick query, intelligent asset management, data source tracing, and data openness and sharing, and allows enterprises to define business architectures, classifications, and terms, and centrally manage asset access permissions.
    DAYU supports global asset display, quick query, intelligent asset management, data source tracing, and data openness and sharing, and allows enterprises to define business architectures, classifications, and terms, and centrally manage asset access permissions.

Application Scenarios

  • One-Stop Data Operations Platform

  • Rapid Establishment of Cloud Data Platform

  • Industrial Knowledge-based Building of Data Operations Platform

One-Stop Data Operations Platform

Overview

This one-stop data operations platform can be used for data collection, cleansing, modeling, connection, integration, consumption, visualization, and intelligent analysis. DAYU helps you rapidly expand your data operations capabilities.

Advantages

Job Orchestration for Multiple Cloud Services


All-Link 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

Rapid Establishment of Cloud Data Platform

Overview

With DAYU, migrating data to cloud services is easier and faster than ever before. You can develop data with ease because the DAYU management console simplifies the construction of cloud data platforms.

Advantages

One-Click Data Integration

Quick integration of online and offline data into cloud data warehouses through configurations on the service 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

Data on the cloud guaranteed by one-stop data service capabilities and stable data warehouse service; personnel freed from building and maintaining big data clusters, dramatically reducing costs in data warehouse building

Industrial Knowledge-based Building of Data Operations Platform

Overview

Based on years of accumulated proven technological experience with industry models and algorithms, DAYU helps you build a data operations platform that can rapidly grow your enterprise's data operations capabilities.

Advantages

Wide Coverage of Industries

A wide coverage of industries including governments, taxation, cities, transportation, and campus

Standard Compliance

Compliance with four-layer industry data standards

Various Domain Models

A variety of industry domain models developed from eight types of data (including personnel, organizations, events, time, space, vehicles, assets, devices, and resources) and their relationships

Quick Usage of Industry Libraries

Quick usage of industry subject libraries, algorithm libraries, and metric libraries

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