Define ETL (Extract, Transform, Load) in the context of data warehousing and provide a brief overview of each ETL process.
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Define ETL (Extract, Transform, Load) in the context of data warehousing and provide a brief overview of each ETL process.
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- Explain the concept of ETL (Extract, Transform, Load) in the context of data warehousing.Explain the concept of ETL (Extract, Transform, Load) in the context of data warehousing. What are the primary functions of each ETL phase?Explain the concept of ETL (Extract, Transform, Load) processes in the context of data warehousing.
- Explain the concept of data aggregation and summarization in the context of data warehousing.Explain the concept of "data warehousing architecture" and its components. What are the key architectural elements that make up a typical data warehousing system?How do ETL tools handle data transformation, and what types of transformations are commonly used?
- Define ETL (Extract, Transform, Load) in the context of data warehousing and its significance.Explain the concept of ETL (Extract, Transform, Load) in data warehousing and its significance.Describe the process of data extraction in ETL (Extract, Transform, Load) and the techniques used to extract data from various source systems.