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by Wenfeng Xiao, Yifei Lin
Implementing a Smart Data Platform
1. The Advent of the Smart Data Era
Three Elements of the Smart Data Era: Data, AI, and Human Wisdom
2. Challenges of the Smart Data Era for Enterprises
Challenges in Data Management
Challenges in Data Engineering
Challenges in Data Science
Challenges in Technical Platform
3. The Advent of Smart Enterprises and SmartDP
4. Data Management, Data Engineering, and Data Science Overview
Data Management
Metadata Management
Data Quality Management
Data Security Management
Data Engineering
Implementation Flow of Data Engineering
Data Acquisition
Data Organization
Data Analytics
Action
Roles of the Data Engineering Team
Data Science
5. SmartDP Solutions
Data Market
Platform Products
Data Management
Data Engineering
Data Science
Data Applications
Consulting and Services
Relationship of SmartDP with Existing Data Platforms
Commercial Models of SmartDP
6. SmartDP Reference Architecture
Data Layer
Self-Owned Data
Third-Party Data
Data Access Layer
Infrastructure Layer
Data Storage
Data Computing
Data Science
Workflow Management
Message and Service Bus
Data Application Layer
Data Catalog
Data Factory
Business Applications
Operation Management Layer
Business Operations
Data Operations
Technical Operations
7. Case Studies
SmartDP Drives Growth in Banks
Multisource Data Concentration and ETL
Contextual Data Labels and Data Management
Machine Learning and Data Application
Application Contexts
Real Estate Development Groups Integrate Online and Offline Marketing with SmartDP
Common Market Practices and Disadvantages
Methodology
Description of the Overall Plan
Data Harvest and Organization
Data Analytics and Strategy Formulation
Conclusion
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