What is denormalization in data warehousing?
An example of an AI chatbot conversation about denormalization in data warehousing.
What is denormalization in data warehousing?
Denormalization is the process of combining tables in a database to reduce complexity and improve query performance.
Why would I want to denormalize my data?
Denormalization can speed up read operations and simplify data retrieval, especially in analytical queries.
Are there any downsides to denormalization?
Yes, denormalization can lead to data redundancy and may complicate data updates, increasing the risk of inconsistencies.
Can you give an example of denormalization?
Sure! For instance, instead of having separate tables for customers and orders, you might combine them into a single table to streamline access.
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