Traditional SQL data warehouses are typically loaded using batches of stored procedures that dump source data into a staging area and then load it into the data warehouse through a series of procedures. However, as data grows larger and target systems change, maintaining large numbers of stored procedures becomes complex and time-consuming. ETL tools provide advantages over traditional stored procedures for loading large and complex data into warehouses.

1.  Most of the Traditional SQL server based Data warehouses are loaded using Batches of Stored procedures
, where the Source data is dumped into a Staging area and series of SPs are executed one after the other
to load data into Datawarehouse.
 If the source system are not a SQL server , an ETL tool like SSIS, or Informatica can be used to clean and
load the data into target system.
 SPs can be useful in scenarios where both source and target database are of SQL server and when the
database doesn’t have complex and huge data .
 But as the data grows writing , editing and maintaining the versions of SPs becomes complex. With large
number of tables and with changing requirement in target systems, the SPs grow larger and takes
prolonged time to execute.
 Thus ETL tools give added advantages over these traditional stored procedures .
Stored Procedures for Loading Data