Data Engineering Service Solution

Full-lifecycle data services: collection, standards, governance, and value extraction.

Professional Customization

An expert team customizes data-engineering service plans to user scenarios and data characteristics, delivering professional services that meet user needs

Flexible Delivery

Flexible deliverables: service plans, business consulting, service customization, data standards, algorithm models, and business systems

Platform Compatibility

Compatible with mainstream vendors’ big data platforms for customized data services—no need to rebuild the platform, saving cost

Solution Architecture

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Data sources:Can adapt to users’ various structured, semi-structured, unstructured, and third-party-system heterogeneous data sources, and customize data aggregation and collection by application needs.

Comprehensive data governance:Comprehensive data-governance services, targeting user data characteristics and industry data-application requirements, provide professional data-collection and governance services; intelligently sense data types, automatically collect multi-source heterogeneous data, unify specifications, and raise data quality; laying a solid foundation for intelligent data applications.

Intelligent data analysis:Based on Sugon big data advanced technology and application experience, provide data-intelligence engineering services for users’ intelligent-analysis application requirements, helping users build various thematic datasets, generate data-resource catalogs, create industry knowledge graphs, and train professional machine-learning and AI models; providing data-value support for user business applications.

Data sharing and exchange:According to user data-usage characteristics and security requirements, build sharing and conversion services that safeguard data security under sharing premises, truly helping users unlock data value.

Data-value services:Tailor big data application services for users, including: data-resource catalogs, knowledge graphs, industry think tanks, data sharing, data visualization, data query, and more.

Industry data standards:Combining data-quality issues found in comprehensive data governance and accumulated data-processing specifications, formulate industry data-standard specifications for users, providing guidance for data-quality management.

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