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Answer: ETL (Extract, Transform, Load) - A method where data is extracted from sources, transformed to meet business needs, and then loaded into the target system.
**Correct Option: C. ETL (Extract, Transform, Load)** ETL is the most widely recognized approach for managing data transformations within a data pipeline, especially in scenarios requiring handling large volumes of data, minimizing latency, and ensuring data quality. The process involves: 1. **Extract**: Data is gathered from diverse sources such as databases, files, or APIs. 2. **Transform**: The collected data undergoes cleaning, filtering, and conversion to prepare it for analysis or storage, ensuring it meets business needs. 3. **Load**: The processed data is then stored in a designated system, such as a data warehouse, ready for analysis. This method ensures data is efficiently and reliably processed, making it the best choice for the given scenario. **Why other options are less suitable:** - **A. LET (Load, Extract, Transform)**: This is not a standard practice in data processing and does not efficiently handle the transformation of large volumes of data. - **B. ELT (Extract, Load, Transform)**: While valid, this approach can be less efficient for large datasets as transformation occurs after loading, potentially increasing latency. - **D. TLE (Transform, Load, Extract)**: This is also not a standard approach in data processing pipelines and may not ensure data is optimally prepared for analysis.
Author: LeetQuiz Editorial Team
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In the context of designing a scalable and efficient data pipeline for a global e-commerce platform, which approach is most widely recognized for managing data transformations to ensure data is ready for analysis in a data warehouse? Consider the need for handling large volumes of data, minimizing latency, and ensuring data quality. Choose the best option.
A
LET (Load, Extract, Transform) - A method where data is first loaded into the target system, then extracted and transformed.
B
ELT (Extract, Load, Transform) - A method where data is extracted from sources, loaded into the target system, and then transformed.
C
ETL (Extract, Transform, Load) - A method where data is extracted from sources, transformed to meet business needs, and then loaded into the target system.
D
TLE (Transform, Load, Extract) - A method where data is transformed before being loaded into the target system and then extracted for analysis.
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