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Moia Control SharkData SharkBuilder SharkGovernance SharkInsight SharkStream SharkMetrics SharkStart SharkExternal

Moia Control

企业统一任务调度平台，国内专业批处理调度软件领域践行者。

SharkData

企业数据智能研发管理平台，集数据研发、数据服务、数据管控、数据资产、数据运维的一体化平台。

SharkBuilder

企业数据集成开发平台，支撑数据需求在设计、开发等全流程中多项目多角色协同工作。

SharkGovernance

企业数据治理平台，统一数据标准，提高数据质量，为企业经营决策提供基础数据保障。

SharkInsight

企业统一数据服务平台，一站式数据服务能力的构建、发布与应用。

SharkStream

流式数据开发与管理平台，覆盖实时数据采集、处理、运维全链路，保障开发高效可靠。

SharkMetrics

指标平台管理指标的整个生命周期，让数据资源沉淀为数据资产，提升数据价值。

SharkStart

企业统一数据采集管理平台，一站式数据采集与管理，数据采集的开始。

SharkExternal

专注外部数据采集与管理，全面提升外部数据集成及应用效能。
解决方案
企业统一调度解决方案 企业数据研发运营一体化解决方案 企业湖仓一体解决方案 企业数据交换解决方案 企业内外部数据采集解决方案

企业统一调度解决方案

使用Moia Control构建企业统一调度平台，实现整个企业各类批处理作业的集中管理、统一调度及统一监控运维

企业数据研发运营一体化解决方案

基于统一的数据资产视图，以元数据驱动为核心，构建包括数据研发、数据服务、数据管控和数据运维的一体化平台。

企业湖仓一体解决方案

构建标签工厂、指标工厂、数据服务统一管控行内外数据，整合开放 数据服务、提升并释放数据价值

企业数据交换解决方案

提供规范、高效、稳定的数据交换能力，助力企业快速实现跨源异构数据的共享与交互。

企业内外部数据采集解决方案

数据采集管理平台，通过高效的数据采集和管理，帮助企业实现数据的集中存储和统一服务，提升数据利用效率和业务响应速度。
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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.

产品简介

SharkData enterprise intelligent data R&D management platform is used to support enterprises to build unified metadata and data asset management, and support enterprises to carry out data-oriented internal and external data collection, data integrated development, unified data service management and data control work in the whole process on the basis of unified metadata and data asset management, and provide unified scheduling and operation services and overall operation management functions. SharkData provides enterprises with the ability of data collection, data research and development, data service, data management and control, data assets and data operation and maintenance, and supports enterprises to rapidly develop the construction of information applications such as data exchange, data warehouse and application fair.

核心功能

Full-Structure Data Visualization Acquisition

Provide mature components, multi-interface mode, and support most of the existing mainstream storage computing engines; the plug-in design is convenient to expand; Support database and table division, collection task segmentation, single data multi-task parallel/serial.

Data research and development

Open format storage engine, diversity engine to support a variety of analytical workloads. Real-time integration, batch flow fusion, real-time update and deletion, and real-time analysis service T+0 timeliness can be realized in the whole link. Data virtualization realizes unified access and collaborative analysis of global data, facilitates rapid analysis, and realizes agile development of requirements.

Data operation and maintenance

Monitor the operation and maintenance from the first perspective of architecture and data object, and directly observe the completion of data processing. Perfect integration of data perspective and operation perspective, flexible switching. "While giving consideration to the operation and maintenance monitoring from the traditional task perspective, it provides observation and operation and maintenance data from the perspective of data itself, and automatically establishes data blood relationship." Monitor O&M from the perspective of scheduling and operations, with emphasis on observing the completion of tasks.

Data Services

The use of the service can be managed, monitored and quantified. It is a hierarchical authorization mechanism for authority control at library level, table level, row level and field level. Zero code service release, low dependence on technical level, e-commerce-like data supply and demand collaboration. Provide offline bulk data service capability. Support online subscription, download and other ways of using numbers. Order takes effect online and runs automatically. It provides API online data access capability, data visualization capability and single-table and multi-table re-entry capability.

产品架构
产品价值

Unified Data Services Competency Center

Unify data export and improve data consistency. The combination of technical metadata and business metadata allows users to understand and find.

Overall upgrade of dispatching service

The scheduling core is based on a microservice architecture and adopts a decentralized idea to realize the internal all-event triggering of scheduling and the execution node resource preemption mode, thereby greatly improving the operation execution efficiency while improving the fault tolerance, and the scheduling time of a single operation is controlled in a millisecond level.

Strong management and control capability

Metadata collection process, data change, data standard release, approval, data quality data check, problem discovery, problem handling, data governance work full process support.

Data operation and maintenance monitoring

By defining the data processing flow, a unified and standardized data-view operation and maintenance service is formed; meanwhile, the traditional task-view operation and maintenance monitoring is provided, and a unified product component scheduling management interface is provided.

Efficient R&D capability

Batch data processing, real-time data processing and data exploration realize data agile development and provide multi-development mode and scenario development support. Improve the real-time data processing capacity, and make diversified release and deployment.

客户案例

City Merchants Alliance - Big Data Platform

Core Data Platform

City Merchants Alliance - Big Data Platform

The Bank has established mature practice experience in the same industry, based on big data and distributed database, and aims to build an integrated architecture of lake and warehouse. Introduce the integrated platform of data development, exchange and scheduling, cooperate with the data governance project, and formulate data development specifications and usage specifications. Integrate data resources and complete the construction of intra-bank report market and supervision market. The subject model of data warehouse is constructed to lay the data foundation for the construction of retail, public and gold markets.

Core Data Platform

The Bank will carry out card core system transformation, which will inevitably affect the operation of relevant application systems. In order to reduce the impact of downstream systems and ensure the smooth switching of core systems, the Bank will simultaneously build data service module projects. The data service module (data platform) is responsible for the core rear baffle function, and shields the data impact of the data structure change on the downstream system after the core transformation by restoring and mapping the S24 package and the statistical report; At the same time, the quasi-real-time data application is newly added to make up for the defects of the unitized architecture, solve the business pain points and improve the data release time efficiency, which is improved from T+1 to the second level, and comprehensively speeds up the card issuing core data application. At the same time, share the inquiry transaction of the core part to reduce the burden of the core account.

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