Moia Control

Enterprise unified task scheduling platform, domestic professional batch processing scheduling software field practitioner.

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SharkData

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.

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Products

Moia Control

Enterprise unified task scheduling platform, domestic professional batch processing scheduling software field practitioner.

enterprise unified task management Intelligent global scheduling

SharkData

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.

Full-Structure Data Visualization Acquisition Data research and development

SharkBuilder

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.

Provides tools for automatically generating scripts real-time data processing

SharkGovernance

The enterprise data governance platform unifies data standards, improves data quality, and provides basic data guarantee for enterprise operation decision-making.

Unified Metadata Management Data Standard Management

SharkInsight

Enterprise unified data service platform, construction, release and application of one-stop data service capability.

Data API Service Dataset Services

SharkStream

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.

Multi-source real-time acquisition Efficient Data Development

SharkMetrics

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.

Self-allocation of business personnel, greatly reducing the workload of technical personnel Index assets systematization

SharkStart

Enterprise unified data collection management platform, one-stop data collection and management, the start of data collection.

Diversified data source support and data integration Fast access and response

SharkExternal

Focus on external data collection and management, and comprehensively improve external data integration and application efficiency.

Multi-protocol support Flexible data format handling
Solutions
Enterprise unified dispatching solutions
Enterprise Data R & D and Operation Integration Solution
Integrated solution for enterprise lake and warehouse
Enterprise Data Exchange Solutions
Enterprise internal and external data collection solutions
solution overview
construction goals
customer value
application scenarios

solution overview

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.

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construction goals

Provide flexible and precise access control means, and provide access control capabilities such as data isolation, data authorization, role classification and menu authorization for multi-team development scenarios.

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customer value

Through the unified scheduling platform, the cross-system dependency relationship processing can be simply and efficiently realized, and the interaction difficulty and the interaction cost among the systems are greatly reduced.

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application scenarios

Batch scheduling of data types such as lake and warehouse integration, data middle platform, data warehouse, data mart and data exchange.Day-end batch operation or inter-day periodic batch task of business system.

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solution overview
construction goals
customer value
application scenarios

solution overview

Based on the unified data asset view and with metadata driving as the core, an integrated platform including data R&D, data service, data control and data operation and maintenance is constructed to realize the integration of development, management and governance, and serve as the basic base to help the enterprise fully realize the data line DataOps.

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construction goals

Support multi-project collaborative development management, realize version management, code base management and deployment management according to different projects and requirements, and provide independent services based on data assets to meet agile data application analysis scenarios. Provide global operation monitoring management.

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customer value

Establish a bank-wide data development and management platform, establish a convenient data demand processing process, comprehensively support the end-to-end work and mutual cooperation of personnel in each role in the process, and improve work efficiency.

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application scenarios

DataOps practice support platform, full process data development, data virtualization to achieve unified access and collaborative analysis of global data, facilitating rapid analysis and achieving agile development of requirements.

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solution overview
construction goals
customer value
application scenarios

solution overview

Build a "lake and warehouse integrated" distributed analytical database platform composed of data lake, data warehouse and data mart, construct label factory, indicator factory and data service to uniformly manage and control the internal and external data of the bank, integrate open data services, promote and release data value, and enable intelligent development and innovation of business.

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construction goals

Construct a lake - warehouse integrated platform to enhance the rapid response service capabilities. Adopt advanced technologies, draw on industry experience, and build an architecture suitable for China Zheshang Bank, a scientific and reasonable enterprise data platform. Define the positioning of data lakes, data warehouses, and data marts, as well as the data retention period. Rationalize the existing data access and exchange, and establish principles, specifications, and processes for data collection and exchange. Define the principles for data entering the lake and data entering the warehouse, as well as the processes and specifications for data lakes and data warehouses to provide data externally and for data services. Establish a series of data construction specifications, including data requirement management, job development, model design, and scheduling configuration. Provide data support for the subsequent construction of retail marts, corporate marts, etc., improve work efficiency, save working time, sort out a simple and fast development platform, and development and operation and maintenance work processes. Meet the timeliness requirements of all parties, improve the work efficiency of developers and operation and maintenance personnel, and relieve the operating pressure of the existing system.

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customer value

Establish a bank - wide centralized data management platform to initially form solutions for business reports and statistical analysis. The reports should be automatically generated, with timely data updates and flexible and diverse information display, providing timely and accurate information for business operation management.

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application scenarios

The Digital Banking Department is responsible for three main capabilities: understanding data, understanding business, and understanding technology, to ensure the implementation of key projects for the "Lake Warehouse Integrated" distributed analytical database platform.

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solution overview
construction goals
customer value
application scenarios

solution overview

The data exchange solution aims to help enterprises build a unified batch data exchange center, integrate resource management, exchange development, operation and maintenance monitoring, provide standardized, efficient and stable data acquisition, processing, exchange and sharing capabilities, help enterprises solve the data interaction problems between cross-system, cross-department and cross-level homogeneous/heterogeneous technical environments, and effectively promote data sharing and use.

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construction goals

Comprehensive batch data exchange scenario, with structured, semi-structured and unstructured data exchange capabilities, compatible with common file formats, RDBMS, MPP, big data platform components and other data source types, to build high-availability, high-concurrency, high-performance data exchange capabilities.

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customer value

Through the exchange platform, different systems and data sources can be efficiently integrated, the unified management of data exchange can be realized, and the business agility can be improved.

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application scenarios

In the construction of data warehouse/data lake projects, automated data collection, cleaning, conversion, and loading are carried out to achieve rapid entry of source business system data into the lake/warehouse, ensuring timely and high-performance data collection, providing stable and reliable data exchange capabilities, and laying a solid foundation for subsequent data integration and development.

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solution overview
construction goals
customer value
application scenarios

solution overview

SharkStart data collection management platform is suitable for enterprises to optimize the architecture of their own data platform construction. It can be used to build a unified data collection platform, realize the rapid access of multiple data sources and the whole process management of data collection, and provide accurate and efficient data supply guarantee for subsequent data applications.

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construction goals

The primary goal of the collection management platform is to realize the unified collection process of internal and external data of the enterprise. Ensure high quality and consistency of data collection through standardized acquisition mechanisms and flexible configuration management. The platform supports the collection of structured, semi-structured and unstructured data, and can flexibly adapt to the changing data requirements of enterprises, help enterprises reduce data islands and improve data sharing and utilization efficiency.

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customer value

Help enterprises realize efficient data collection and management, and significantly improve data utilization efficiency. Through the unified data acquisition process and centralized storage, all business departments of the enterprise can quickly acquire and apply data, support business innovation and precise decision-making, and promote the digital transformation of enterprises.

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application scenarios

129/1000 实时翻译 零售公司使用SharkStart收集多渠道客户数据,以进行深入的客户分析。通过整合线上线下数据,企业可以更好地了解客户需求和消费行为,优化营销策略,提高客户满意度和忠诚度。SharkStart的数据可视化功能可帮助零售企业实时监控客户动态,并快速调整运营策略。 划译 Retail companies use SharkStart to collect multi-channel customer data for in-depth customer analysis. By integrating online and offline data, enterprises can better understand customer needs and consumption behavior, optimize marketing strategies, and enhance customer satisfaction and loyalty. The data visualization function of SharkStart helps retail enterprises monitor customer dynamics in real-time and quickly adjust operational strategies.

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