ETL process efficiency requires a high volume of ETL throughput, where best practices for standard relational databases and high performance techniques for packages are taken into consideration. Similarly, the high volume ETL throughput and management require specific considerations and implementation techniques in a data warehousing environment. The data store that contains trends, patterns, and a history of business is essential to make decisions. Such BI services use facts to record transactions and dimensions that contain information about customer transactions, such as customer name, time, product sales, and sales promotions.

Integration Services from SQL Server 2008 R2 provides a number of specific benefits for meeting the requirements of high-volume ETL processes. High volume ETL is a data warehouse update process that needs the infrastructure support from the technology to attain the throughput. ETL designer from IS design toolbox helps to design...