DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Explain, Transfer and Lead
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Extract, Transform and Load
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Extract, Transfer and Load
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Effect, Transfer and Load
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Detailed explanation-1: -ETL, which stands for extract, transform and load, is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system.
Detailed explanation-2: -Extract, transform, and load (ETL) is the process of combining data from multiple sources into a large, central repository called a data warehouse. ETL uses a set of business rules to clean and organize raw data and prepare it for storage, data analytics, and machine learning (ML).
Detailed explanation-3: -Answer-D) ETL stands for Extract, transform and load.
Detailed explanation-4: -ETL Transform Transformation refers to the cleansing and aggregation that may need to happen to data to prepare it for analysis. Architecturally speaking, there are two ways to approach ETL transformation: Multistage data transformation – This is the classic extract, transform, load process.
Detailed explanation-5: -ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are data integration methods. Their main task is to transfer data from one place to another.