*Survey broadly all the various aspects of the
data extraction ,transformation and
*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
*Understand the meaning of data integration
*Percieve the importance of data load function
*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.
*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.
*Data extraction-why not extract all of operational data and
dump into data warehouse?