Data Middle Platform

Data collection

Supports a variety of semi-structured, structured, and unstructured data sources;
A variety of built-in mature data extraction, conversion, and loading components are available out of the box;
Supports CDC real-time incremental and full data collection;
Support data current limiting and fault tolerance to ensure stable operation of the system.

Data Modeling

Guided by the data warehouse planning theory of KIMBALL dimensional modeling. A method of organizing and storing data. A good data model can help us store data better, obtain data more efficiently, and ensure consistency between data.

Data development

Provides an end-to-end tool set for data processing such as data pipelines, real-time computing, multi-dimensional analysis, business processes, scheduling and operation and maintenance; supports the construction of complex data processing models; provides a one-stop visual development and management interface, and supports fully managed job scheduling and flexible scheduling strategy; has good scalability, supports customized development of operators, functions and jobs, greatly reduces the complexity of data processing for users, and focuses on mining and exploring the value of data.

Data lineage

SQL analysis is performed throughout the entire process from data collection, data development to data application, and the blood link relationship map is automatically generated. Achieve tracing of data sources and analysis of data impact.

Data quality

The data quality is tested from the six dimensions of data integrity, uniqueness, accuracy, validity, timeliness and continuity, and problem data can be quickly discovered and analyzed to achieve comprehensive screening and assessment of data quality issues. Data quality achieves global control and detailed management of data quality in a visual way, providing reliable data guarantee for subsequent data analysis and processing.

Data services

In many different forms, the data in the data resource pool is provided to the outside world for data use in the form of APIs, files, and database tables. The main functions of data service management include: supporting service current limiting, transmission encryption, service classification, service circuit breaker, service security API service gateway, and service management and control of various services.

Business Intelligence (BI) Tools

Data visualization is a more vivid and friendly representation of data. Through the design of interactive real-time data visualization (large screen), it can help business personnel discover and diagnose business problems.

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	Data collection Supports a variety of semi-structured, structured, and unstructured data sources; A variety of built-in mature data extraction, conversion, and loading components are available out of the box; Supports CDC real-time incremental and full data collection; Support data current limiting and fault tolerance to ensure stable operation of the system.
Data Modeling Guided by the data warehouse planning theory of KIMBALL dimensional modeling. A method of organizing and storing data. A good data model can help us store data better, obtain data more efficiently, and ensure consistency between data.
	Data development Provides an end-to-end tool set for data processing such as data pipelines, real-time computing, multi-dimensional analysis, business processes, scheduling and operation and maintenance; supports the construction of complex data processing models; provides a one-stop visual development and management interface, and supports fully managed job scheduling and flexible scheduling strategy; has good scalability, supports customized development of operators, functions and jobs, greatly reduces the complexity of data processing for users, and focuses on mining and exploring the value of data.
Data lineage SQL analysis is performed throughout the entire process from data collection, data development to data application, and the blood link relationship map is automatically generated. Achieve tracing of data sources and analysis of data impact.
	Data quality The data quality is tested from the six dimensions of data integrity, uniqueness, accuracy, validity, timeliness and continuity, and problem data can be quickly discovered and analyzed to achieve comprehensive screening and assessment of data quality issues. Data quality achieves global control and detailed management of data quality in a visual way, providing reliable data guarantee for subsequent data analysis and processing.
Data services In many different forms, the data in the data resource pool is provided to the outside world for data use in the form of APIs, files, and database tables. The main functions of data service management include: supporting service current limiting, transmission encryption, service classification, service circuit breaker, service security API service gateway, and service management and control of various services.
	Business Intelligence (BI) Tools Data visualization is a more vivid and friendly representation of data. Through the design of interactive real-time data visualization (large screen), it can help business personnel discover and diagnose business problems.