Head of Global Data Strategy
Datasource Consulting, an EXL Company
The term “modern” is one that is in a constant state of change. What was modern last year may not be considered modern today. In data management, we often distinguish the architectures that incorporate the newest methodologies, technologies, and hardware, from ones that are more mature. We label the former modern and the latter traditional.
The dilemma every data architect and solution architect faces when designing a new architecture is how to strike the balance between modern and traditional, especially with the organizational and market pressures we often face.
In this session, Steve Dine will discuss:
- The main requirements driving data architecture today
- How to strike the right balance between the modern and the traditional when choosing methods, technologies, and hardware
- Common mistakes to avoid in data architecture design