AWS Certified Data Engineer - Associate
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Your company is planning to implement a data lake architecture to store and process large volumes of diverse data. Describe the steps you would take to design and implement an ETL pipeline for a data lake, and explain the considerations involved in handling the data in its native format.
A
Use a traditional data warehouse architecture and store the data in a structured format, as it is more suitable for handling large volumes of diverse data.
B
Design an ETL pipeline that ingests data in its native format, performs minimal transformations, and stores it in a data lake for further processing and analysis.
C
Perform extensive data cleansing and transformation before ingesting the data into the data lake, to ensure data quality and consistency.
D
Use a single-stage ETL process to load all data into the data lake and perform all transformations and analysis there, without considering data governance and security.