Enterprise Data Warehouse System
Project Overview
A new data warehouse system designed and implemented for a large manufacturing enterprise, integrating data from multiple business systems and providing unified data access interfaces and analysis platforms.
Challenges
- Diverse data sources with inconsistent formats
- Large volume of historical data requiring efficient processing
- Need to support both real-time and offline data
- Requirement for multi-dimensional, complex queries
Solution
Built data lake and data warehouse using Hadoop ecosystem, used Spark for ETL processing, provided SQL query capabilities through Hive, and implemented intuitive data visualization with BI tools.
Results
- Data processing efficiency improved by 300%
- Analysis query speed increased 5 times
- Achieved near real-time data updates
- Provided data support for enterprise decision-making
AI Knowledge Base Assistant
Project Overview
An intelligent knowledge base system based on large language models developed for an edtech company, capable of automatically learning company documents and knowledge bases to provide accurate Q&A services for employees and customers.
Challenges
- Need to process large amounts of unstructured documents
- Diverse and complex query questions
- Need to ensure answer accuracy
- Real-time knowledge base content updates
Solution
Based on OpenAI API and Dify framework, combined with vector database for semantic document retrieval, developed user-friendly interface and backend services using React and Node.js.
Results
- Customer service response time reduced by 70%
- Knowledge base coverage exceeded 95%
- Employee training time shortened by 50%
- System handles over 10,000 queries monthly
Real-time Data Processing Platform
Project Overview
A real-time data processing system developed for an e-commerce platform, handling user behavior, transactions and inventory data in real-time, supporting real-time recommendations, inventory management and anomaly detection.
Challenges
- High-concurrency data stream processing
- Millisecond-level response requirements
- System needs high availability
- Need to handle complex events
Solution
Used Kafka as message queue, Flink for stream computing, Elasticsearch for storing processed results, Redis for caching services, building an end-to-end real-time data processing platform.
Results
- System processes over 50,000 messages per second
- Average processing latency below 50 milliseconds
- System availability reached 99.99%
- Real-time analysis increased sales conversion by 15%
Enterprise Management System
Project Overview
An all-in-one enterprise management system developed for a medium-sized enterprise, including HR management, financial management, project management and CRM modules, realizing digital transformation of business processes.
Challenges
- Need to integrate multiple business processes
- High user experience requirements
- Strict data security requirements
- Need to support mobile access
Solution
Developed frontend with Vue.js, built backend services with Spring Boot, stored data in MySQL, and implemented a modern enterprise management platform through Docker containerization.
Results
- Enterprise management efficiency improved by 35%
- Data entry error rate reduced by 90%
- Project collaboration efficiency increased by 50%
- System response time below 200 milliseconds
Community Service Mini-program
Project Overview
A community convenience service mini-program developed for a residential community, providing community announcements, property services, neighborhood assistance, community mall and other functions to facilitate residents' daily life.
Challenges
- Wide age range of user groups
- Need for simple and easy-to-use interface
- Support for multiple community service scenarios
- Need to integrate payment functionality
Solution
Used native WeChat mini-program development, combined with WeChat cloud development for backend services, integrated Tencent Map and WeChat Pay APIs to build a lightweight but feature-rich community service platform.
Results
- Community active users reached 85%
- Property service response time shortened by 60%
- Community mall monthly transaction volume exceeded 100,000 yuan
- Resident satisfaction increased by 40%