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Industry SolutionsXX joint-stock commercial bank-monitoring and submission marketplace project
The customer's former data architecture includes a main data warehouse, two data marketplaces (one 2800-data warehousing MDB_SR marketplace, one 6650 data marketplace for specific monitoring), and three monitoring application databases (TD, SqlServer and Mysql). There are multiple documents implementation in the whole submission process, affecting submission timeliness. Meanwhile, the overall operation and maintenance burden is heavy and the expansion cost of TD in the later period is beyond budget. So the customer wants to replace these with more cost-effective DWS products, and solve the problems of poor timeliness and slow batch processing.
Multiple kinds of data platforms where conversion and adaptation of syntax and scripts are required
Large data volume of 10 TBs
Complex business, customer requirement of minimizing downtime
Large volume for migration and time pressure
Unified replacement of former TD, SQLSERVER data processing platform, and submission platform via GaussDB.
Use ADMS and DSC tools to solve in batches the problems of syntax adaptation and script conversion on heterogeneous platforms.
Guarantee resource use for different applications of OLAP and OLTP by setting up resource queues
Establishment of aunified monitoring data marketplace model that meets data reporting requirements of the current full-monitoring system with good scalability.
Use ADMS and DSC tools for quick migration of historical data, winning valuable time formigration.
GaussDB's high performance and massive storage solves the storage crisis and improves the batch processing power, greatly guaranteeing submission work.
中电金信鲸Bot RPA是一款面向金融行业客户的机器人流程自动化的开发平台。
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鲸Bot设计器
鲸Bot设计器集成了浏览器自动化组件，office办公自动化组件，数据库组件，文件处理组件、邮件组件等多种类型组件，通过全栈自动识别技术，自动识别目标元素，使开发过程所见即所得，降低了RPA开发门槛，让业务人员也可以方便地进行业务流程的开发。
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鲸Bot机器人
通过手动执行、定时执行、控制台远程调用的方式运行自动化流程，配合控制台对外提供API接口，供外部程序调用。通过特有的视觉反馈技术提供统一的异常处理机制，极大降低开发和运维成本，让RPA流程运行更加稳定，而解决金融行业因技术人员产能不足难以支持其业务发展的问题。
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