How to Implement a Data Architecture
summary
Practical guidance for implementing a data architecture that makes data easier to access by building industrialized data models closely aligned with existing reference systems and KPIs. The talk also covers security and jurisdictional constraints affecting such an architecture, and is presented by Nicolas Brigitte-Alphonsine (Co-founder & CEO of Nodata).
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chapters (9)
- 0:00Introduction
- 0:31ANALYTICAL PLATFORM
- 0:48WHAT WE WANT TO DO
- 2:21DATA COLLECTION
- 3:08STORAGE MANAGEMENT
- 6:24CLIENT-SIDE DATA MANIPULATION
- 7:23APPLICATION ARCHITECTURE
- 9:26EDGE COMPUTING
- 12:21EVENT-DRIVEN VISUALIZATION
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