Your company is planning to implement a machine learning pipeline to support predictive analytics. Describe the steps you would take to design and implement an ETL pipeline for a machine learning project, and explain the considerations involved in preparing the data for machine learning models.

Simulated

Use a single-stage ETL process to load all data into a machine learning platform and perform all transformations and analysis there, without considering data preparation for machine learning models.

0.0%

Design a multi-stage ETL pipeline with data preprocessing and feature engineering steps to prepare the data for machine learning models, leveraging Apache Spark's machine learning libraries and frameworks.

100.0%

Use a traditional statistical analysis approach to prepare the data for machine learning models, as it is more accurate than using an ETL pipeline.

0.0%

Focus only on the ETL process and ignore the data preparation aspect, as it is not relevant to machine learning models.

0.0%

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Your company is planning to implement a machine learning pipeline to support predictive analytics. Describe the steps you would take to design and implement an ETL pipeline for a machine learning project, and explain the considerations involved in preparing the data for machine learning models.