A global financial institution is integrating live market data from the web with confidential in-house analytics by using a hybrid data setup that combines an on-premises warehouse for sensitive client data and Azure Data Lake for scalable analytics. This integration is facilitated through Bright Data’s APIs, which offer secure, compliant data collection and real-time integration. The solution ensures that public web data fuels real-time market intelligence while existing in-house data supports long-term modeling and compliance with strict regulations. The architecture involves data collection via Bright Data APIs, storage in Azure Data Lake, secure on-premises zones for sensitive data, and orchestration through Azure Data Factory, enabling federated queries without moving sensitive data. The approach includes automated data validation, secure bidirectional sync, and unified analytics, all while maintaining data security and compliance through practices like automated lineage tracking and centralized access control. This system addresses challenges such as IP blocks, CAPTCHAs, and site changes by leveraging Bright Data's features like residential proxies and managed data services, ensuring a compliant and agile data integration process.