CTBC Securities has adopted Trinity ETL to integrate with Hadoop, aiming to enhance the performance of its Big Data Center
As a member of CTBC Financial Holding, CTBC Securities has proactively embraced advancements in mobile communications, social media, big data, and cloud technologies in recent years. In alignment with the trends of digital transformation and integrated information development, CTBC Securities has been an industry leader in applying AI-driven big data analytics for customer churn prediction and personalized product recommendations.
To further strengthen its data integration capabilities, CTBC Securities implemented Trinity ETL to consolidate both file-based and database data sources into its Hadoop big data platform. Additionally, by leveraging Trinity JCS, the job scheduling and control module, the firm was able to centralize and automate its data integration processes, significantly improving the operational efficiency of its Big Data Center.
Trinity empowers enterprises to efficiently process both structured and unstructured data from internal documents and external networks. This includes functionality such as data matching, document archiving and management, online sentiment monitoring, and survey analysis. With Trinity, data analysts can dramatically reduce the evaluation and implementation time required for big data applications, enabling seamless support for both Big Data analytics and traditional BI use cases—ultimately helping organizations build a comprehensive big data analytics platform.
To further strengthen its data integration capabilities, CTBC Securities implemented Trinity ETL to consolidate both file-based and database data sources into its Hadoop big data platform. Additionally, by leveraging Trinity JCS, the job scheduling and control module, the firm was able to centralize and automate its data integration processes, significantly improving the operational efficiency of its Big Data Center.
Trinity empowers enterprises to efficiently process both structured and unstructured data from internal documents and external networks. This includes functionality such as data matching, document archiving and management, online sentiment monitoring, and survey analysis. With Trinity, data analysts can dramatically reduce the evaluation and implementation time required for big data applications, enabling seamless support for both Big Data analytics and traditional BI use cases—ultimately helping organizations build a comprehensive big data analytics platform.
