DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Structured Data
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Formed Data
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Unstructured Data
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Unformed Data
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Detailed explanation-1: -ETL is the process performed in the data warehouses. It involves the extraction of data from multiple data sources. An ETL developer is responsible for carrying out this ETL process effectively in order to get the data warehouse information from unstructured data.
Detailed explanation-2: -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-3: -Content ETL refers to the processes that are used to simply exchange data between multiple content repositories. The ETL (Extract, Transform and Load) process for unstructured data is much more difficult than for structured data. This has a number of causes. More about ETL.
Detailed explanation-4: -A typical ETL process collects and refines different types of data, then delivers the data to a data lake or data warehouse such as Redshift, Azure, or BigQuery. ETL tools also makes it possible to migrate data between a variety of sources, destinations, and analysis tools.
Detailed explanation-5: -Step 3 – Loading The load is the last step of ETL process involves importing extracted and transformed data into a target database or data warehouse.