What are the differences between data architectures?
Data architectures can vary significantly. Common types include relational, NoSQL, and data lakes. Each serves different needs.
Can you explain the advantages of using a NoSQL database?
NoSQL databases offer flexibility, scalability, and performance for unstructured data, making them ideal for big data applications.
How does a data lake differ from a traditional database?
A data lake stores raw data in its native format, allowing for more extensive data types and analytics, unlike traditional databases.
Which architecture is best for real-time analytics?
For real-time analytics, a streaming data architecture or a NoSQL database optimized for speed is often the best choice.
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