Core Insights - The article emphasizes the transition of enterprise data analysis from "offline lagging" to "real-time agility" in the context of data becoming a core production factor [1] - The Lakehouse architecture is highlighted as a crucial solution for enterprises to unlock data value amidst the limitations of traditional data warehouse solutions [1][2] Group 1: Need for Lakehouse Architecture - Traditional data warehouses struggle with flexibility, scalability, and real-time processing due to the surge of unstructured data and the demand for real-time analysis [2] - Lakehouse architecture merges the benefits of data lakes and data warehouses, offering low-cost storage for heterogeneous data while maintaining transaction consistency and efficient querying [2] Group 2: USDP Platform Capabilities - The USDP platform provides comprehensive support from data integration, storage, processing to governance, significantly lowering the barriers for implementing Lakehouse architecture [3] - USDP includes enterprise-level distributed storage UCloudStor, which features high availability, strong consistency, and rapid scalability, addressing complex real-time data processing needs [6] Group 3: Customer Success Stories - Successful implementations of the USDP platform include a provincial tax bureau achieving unified data access and efficient analysis, enhancing data governance [4] - HuiZhi Pharmaceutical integrated R&D and sales data using Lakehouse architecture for precise decision-making and compliance reporting [4] - Domino's China optimized order scheduling and marketing strategies through real-time data capabilities, improving user experience and operational efficiency [4] Group 4: Future Directions - The company plans to continue investing in Lakehouse architecture, stream-batch integration, and AI integration to support digital transformation across key industries [8] - The transition from traditional data warehouses to Lakehouse architecture is framed as a significant shift in enterprise data strategy, enabling data-driven business growth [8]