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CitiusTech
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I was interviewed before Jun 2022.
Datawarehouse design patterns are strategies for organizing data in a datawarehouse to optimize performance and efficiency.
Star schema
Snowflake schema
Galaxy schema
Data Vault
Federated datawarehouse
We used the Extract, Transform, Load (ETL) design pattern in our last project.
We extracted data from multiple sources such as databases, APIs, and files.
We transformed the data by cleaning, filtering, and aggregating it to fit the target data model.
We loaded the transformed data into the destination database or data warehouse.
We used tools like Informatica, Talend, or Apache NiFi for ETL processes.
I was interviewed before Feb 2023.
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