Data Lakes vs. Data Warehouses: Which to Choose?
An example of an AI chatbot conversation about data lakes and data warehouses.
What's the difference between a data lake and a data warehouse?
A data lake stores raw data in its native format, while a data warehouse stores structured data for analysis.
When should I use a data lake instead of a data warehouse?
Use a data lake when you need to store large volumes of unstructured data or when you want to perform big data analytics.
Are there any specific use cases for data warehouses?
Yes, data warehouses are ideal for business intelligence, reporting, and structured data analysis.
Can I integrate both a data lake and a data warehouse?
Absolutely! Many organizations use both to leverage the strengths of each for different data needs.
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