From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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Generating a star schema, synthetic data, and queries

Generating a star schema, synthetic data, and queries

From the course: Complete Guide to Generative AI for Data Analysis and Data Science

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Generating a star schema, synthetic data, and queries

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- [Instructor] Now there are many things we can do with generative AI with regards to relational databases. One of the things we can do is we can use gen AI tools to help us generate data structures or data models we can use in our data warehouses. So for example, a star schema is a commonly used model or data model in data analytics. And a star schema is made up of two types of tables, fact tables and dimension tables. Fact tables have a bunch of measures and these measures are sort of grouped by, or indexed by various kinds of fact table. So what I've done here is I've run through ChatGPT and I've asked it to generate a star schema model for retail sales. So the dimension table, the way we're going to want to organize the data is based on time, location, and product. Now, the time table has one day granularity. So every day we're going to be making calculations and it's just going to be for one year. The location table is going to have 10 different geographic locations. And I'm…

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