The document discusses the key functions of ETL (extract, transform, load) processes which are important for reshaping relevant data from source systems into useful information stored in a data warehouse. It examines the challenges and techniques for data extraction and the wide range of transformation tasks. It also explains that ETL encompasses extracting data from source systems, transforming it into appropriate formats for the data warehouse, and loading it into the data warehouse repository.

1. *

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. *Understand the meaning of data integration
and consolidation
*Percieve the importance of data load function

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. *
*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.

7. *
*Data extraction-why not extract all of operational data and
dump into data warehouse?
*Avoid creating