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2425 - 使用 IBM DataStage 实现高效数据集成:成功案例和最佳实践.pdf

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1、Orlando,FLOctober 69IBM TechXchange 2025Vanessa Hernandez GuichoGrupo dportenis,Lead Data&Analytics2425Effective Data Integration with IBM DataStage:Success Stories and Best PracticesIBM TechXchange|2025 IBM Corporation2GRUPO DPORTENISGRUPO DPORTENISOur own brand ONBOARDONBOARD is born202519942005We

2、 reach all of Mexico with just one clickDportenis.mxDportenis.mxTheThe firstfirstDPVALEDPVALE officeofficebegins operationsFirst First dportenisdportenisstore opensstore opens in Mazatlan,Sinaloa19872007201538th Anniversary38th Anniversary+250 stores in 45 cities in the country.We start operations o

3、f DPCARDDPCARD financial servicesChallenge:DATA INTEGRATIONUsing DataStage to orchestrate the ingestion and transformation of data from all our operational sources.Automation and Automation and Orchestration.Orchestration.We created automatedpipelines that not only moved data but also applied busine

4、ss rulesand quality validations.Data Governance and Data Governance and Data Quality.Data Quality.use to standardize data and provide clear data lineage.Data Management.Data Management.Were turning the data warehouse into the single source of truth for the organization.IBM TechXchange|2025 IBM Corpo

5、ration3IBM TechXchange|2025 IBM Corporation4ArchitectureArchitectureDevelopment in Watson Studio,3X reduce in development timeConnectivity and Flexibility in DataStage,Wide range of predefined connectors to interact with almost any data source or destinationQuery speed in Netezza Performance Server,

6、massive data sets in minutes or seconds.Model development cycle with AutoAI,+4x fasterEvaluating machine learning models with OpenScaleDataflows and DataStage orchestration,+4X faster automation timeAllows models to be released and tested in a continuous production environment(CD/CI)whit Watson Pipe

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根据报告的内容,全文主要内容概括如下: - **集团发展历程**:从1987年成立至今,Dportenis已扩展至墨西哥全国,拥有250多家门店。 - **数据集成挑战**:Dportenis使用IBM DataStage进行数据集成,实现自动化和编排。 - **解决方案**:创建自动化管道,应用业务规则和质量验证,实现数据治理和质量控制。 - **技术优势**:利用Watson Studio、DataStage、Netezza Performance Server和AutoAI等技术,提高开发效率和模型评估速度。 - **最佳实践**:从小规模试点项目开始,逐步扩展,实现快速价值展示。 - **未来计划**:迁移至CP4D,探索混合云架构,开发基于Generative AI的客户沟通案例。 - **反馈与感谢**:邀请参与者提供反馈,并感谢IBM的支持。
Dportenis如何转型?" 案例解析与最佳实践" 数据集成成功之道?"
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