Data extraction, transformation, and loading

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Data extraction in data warehouse

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Data extraction, transformation, and loading

  1. 1. *
  2. 2. * *Survey broadly all the various aspects of the data extraction ,transformation and loading(ETL)functions *Examine the data extraction function,its challenges,its tecniques,and learn how to evaluate and apply the tecniques *Discuss the wide range of tasks and types of the transformation function
  3. 3. *Understand the meaning of data integration and consolidation *Percieve the importance of data load function
  4. 4. *ETL functions reshape the relevant datd from the source systems into useful information to be stored in the data warehouse. *Without these function,there would be no strategic information in the data warehouse. *If the source data is not extracted correctly,cleansed,and integrated in the proper formats,query processing,the backbone of the data warehouse,could not happen.
  5. 5. * *The architecture divided into three functional areas such as data acquisition, data storage and information delivery. *ETL encompass the area of data acquisition and data storage. *These are back-end processes that cover the extraction of data from the source systems. *Next, source data into the exact formats and structures appropriate for data storage in data warehouse. *After data transformation of the data, moving data into the data warehouse repository.
  6. 6. * *Data extraction-why not extract all of operational data and dump into data warehouse? *Avoid creating

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