What does the acronym “ETL” stand for in the context of data preprocessing and integration?

Extract, Transform, Load
Encrypt, Transmit, Log
Evaluate, Test, Learn
Estimate, Transform, Load

The correct answer is A. Extract, Transform, Load.

ETL is a three-step process for extracting data from one or more sources, transforming it into a consistent format, and loading it into a target data warehouse or data mart.

The first step, extract, involves identifying the data that needs to be extracted from the source systems. This data can be structured or unstructured, and it can be stored in a variety of formats. The second step, transform, involves converting the extracted data into a format that can be loaded into the target system. This may involve cleaning the data, removing duplicate records, and converting the data into a standard format. The third step, load, involves loading the transformed data into the target system. This can be done in a variety of ways, depending on the type of target system.

ETL is a critical process for data warehousing and data integration. It allows organizations to consolidate data from multiple sources into a single repository, which can then be used for analysis and reporting.

Here is a brief explanation of each option:

  • A. Extract, Transform, Load: This is the correct answer. ETL is a three-step process for extracting data from one or more sources, transforming it into a consistent format, and loading it into a target data warehouse or data mart.
  • B. Encrypt, Transmit, Log: This is not the correct answer. Encrypt, Transmit, Log is a three-step process for encrypting data, transmitting it over a secure channel, and logging the transmission.
  • C. Evaluate, Test, Learn: This is not the correct answer. Evaluate, Test, Learn is a three-step process for evaluating a system, testing it, and learning from the results.
  • D. Estimate, Transform, Load: This is not the correct answer. Estimate, Transform, Load is not a common three-step process for data preprocessing and integration.
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