ChiefClouds DataPlatform

ChiefClouds DataPlatform is a comprehensive product suite for enterprise data asset management modules, a full-link service engine and development platform. It includes functional modules such as digital asset management, data analysis models and algorithms, and real-time data applications to help enterprises achieve flexible, fast, and low-threshold data application expansion capabilities on a transparent and controllable basis.

Asset target management capabilities for various types of objects such as data objects, business objects, and process objects are provided, and data content such as data sources, data tables, and dimensional indicators are provided; at the same time, data lineage query capabilities for data tables and field levels are provided to support IT operators to perform upstream and downstream data lineage queries for specified data content.

·Supports multiple data source management ·Supports master data management ·Supports metadata management ·Provide indicator banks ·Support data governance ·Supports DataOps

The data asset map provides a data asset catalog, combines data standards to form a data lineage and data map according to the data management framework, providing customers with a data information chain and clearly representing the entire data flow process from data source to destination.

The ChiefClouds Data Platform, which is based on mainstream big data technology, provides four major engine capabilities: “data engine”, “BI engine”, “AI engine”, and “application engine”. It comprehensively covers a complete set of management and governance capabilities for the entire life cycle of massive data, such as offline data development, real-time data processing, data diagnosis, data security, data modeling, machine learning, and asset management, and quickly forms data services based on this to support enterprise operations and marketing operations.

At the same time, ChiefClouds DataPlatform is divided globally and vertically on a single project basis, and all data tables, data development processes, resources, permissions, etc. are divided by projects. Projects are isolated from each other to ensure the independence and confidentiality of data between different business units within the enterprise.