What are the key principles of data architecture design?
An example of an AI chatbot conversation about data architecture design principles.
What are the key principles of data architecture design?
The key principles include scalability, flexibility, data integrity, and security. Would you like to explore any of these in detail?
Can you explain scalability in data architecture?
Scalability refers to the ability of a system to handle increased loads without compromising performance. It can be vertical or horizontal.
What is the difference between vertical and horizontal scalability?
Vertical scalability involves adding more power to a single machine, while horizontal scalability involves adding more machines to distribute the load.
How does data integrity play a role in architecture?
Data integrity ensures accuracy and consistency of data over its lifecycle, which is crucial for reliable decision-making.
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