Enterprise unified task scheduling platform, domestic professional batch processing scheduling software field practitioner.
Enterprise data intelligent R&D management platform is an integrated platform integrating data R&D, data service, data control, data assets and data operation and maintenance.
Enterprise data integration and development platform supports multi-project and multi-role collaborative work of data requirements in the whole process of design and development.
The enterprise data governance platform unifies data standards, improves data quality, and provides basic data guarantee for enterprise operation decision-making.
Enterprise unified data service platform, construction, release and application of one-stop data service capability.
Stream data development and management platform, covering real-time data acquisition, processing, operation and maintenance of the full link, to ensure efficient and reliable development.
The indicator platform manages the whole life cycle of the indicator, so that the data resources are precipitated into data assets, and the data value is improved.
Enterprise unified data collection management platform, one-stop data collection and management, the start of data collection.
Focus on external data collection and management, and comprehensively improve external data integration and application efficiency.
Use Moia Control to build enterprise unified scheduling platform to realize centralized management, unified scheduling and unified monitoring operation and maintenance of various batch processing jobs of the whole enterprise.
Based on the unified data asset view and with metadata driving as the core, build an integrated platform including data R&D, data service, data control and data operation and maintenance.
Build label factory, index factory and data service to control the internal and external data in a unified way, integrate the open data service, and promote and release the data value.
Provide standardized, efficient and stable data exchange capabilities, and help enterprises quickly realize the sharing and interaction of heterogeneous data across sources.
The data acquisition management platform helps enterprises to realize centralized storage and unified service of data and improve data utilization efficiency and business response speed through efficient data acquisition and management.
Enterprise data integration and development platform supports multi-project and multi-role collaborative work of data requirements in the whole process of design and development.
SharkBuilder advanced enterprise data integrated development and management platform can help enterprises realize data processing and data flow development. While improving development efficiency and development quality, it ensures the consistency of enterprise data assets, metadata and data operation information, and improves the overall management level of data lines.
Configure template information template operator, parameter definition, data processing and development script preview, job synchronization script generation and script operation, and automatically generate scripts according to metadata information.
Provide data processing based on flink stream computing technology, support Flink SQL and Flink Jar task development based on graphical configuration, and calculate processing monitoring capability, covering task status, performance, task log, etc.
Metadata collection process, data change, data standard release, approval, data quality data check, problem discovery, problem handling, data governance work full process support development.
Perfect integration of data perspective and operation perspective, flexible switching, observation and management of data from the perspective of data itself, and automatic establishment of data blood relationship.
Combine one-stop development of metadata, data assets, and scheduling information to ensure that this information is consistent in development and operation.
The data development is supported from the tool level and the overall development efficiency and quality are improved by parametric development and automatic script generation tools.
Multi-development mode and scenario development support. With the improvement of automation level, the development quality and standardization level will be improved accordingly. The scene-based development is constructed, and a batch development mode is provided, so that the development efficiency is improved, and the scene application is quickly constructed out of the box.
The development is based on metadata, mutually synchronous and driven, meeting the traceability of development, easy maintenance and adjustment, and improving the overall development management level.
A clear overview of the development, with a clear overview of the agency tasks. Full-process support of data processing, batch data processing, real-time data processing, scenario-based rapid data integrated development, and efficient R&D capability.
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