Data in datawarehouse must be processed before using it. There are three steps in data processing extraction, transformation and loading.
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There are three basic principles of data processing. These are ETL that is extraction, transformations and loading.
Some methods of separating substances by loading include chromatography, filtration, distillation, and extraction. Chromatography separates compounds based on their affinity for the stationary phase, while filtration physically separates particles based on size. Distillation separates substances based on differences in boiling points, and extraction separates compounds based on their solubility in different solvents.
Data processing includes the input, verification, organization, storage, retrieval, transformation, and extraction of information from data. Processing can also include the execution of a program.
Data staging in data warehousing involves steps like data extraction from source systems, data transformation to prepare it for analysis, and data loading into the data warehouse. This process ensures that data is cleansed, standardized, and organized before being stored in the data warehouse for reporting and analytics purposes.
Identify the problem. Develop a solution. Implement the solution. Monitor the results.Answerinput processoutput
Multiple extraction.
The extraction of steam can either be controlled or uncontrolled. In an uncontrolled extraction the pressure of the extracted steam will decrease with an increase in extraction flow from the turbine. In a controlled extraction the extraction pressure is kept constant as extraction flow is increased or decreased.
It depends on what kind of extraction you are speaking of. Is it a tooth extraction? A menstrual or abortion extraction?
hot water extraction , aqueous extraction, solvent extraction
hot water extraction , aqueous extraction, solvent extraction