What are the different types of data architectures?
An example of an AI chatbot conversation about comparing various data architectures.
What are the different types of data architectures?
There are several types of data architectures, including traditional data warehouses, data lakes, and data mesh. Each serves different needs.
Can you explain the differences between a data lake and a data warehouse?
Sure! A data lake stores raw data in its native format, while a data warehouse stores structured data optimized for analysis.
Which one is better for big data applications?
It depends on the use case. Data lakes are often better for big data due to their flexibility, while data warehouses are better for structured analytics.
What are some common use cases for data mesh?
Data mesh is great for organizations with decentralized data ownership, enabling teams to manage their own data domains effectively.
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