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Microsoft® SQL Server® 2012 Integration Services by Rakesh Parida Wee-Hyong Tok Matt Masson, Xiaoning Ding, and Kaarthik Sivashanmugam

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Chapter 1. SSIS Overview

Enterprises depend on data integration to turn data into valuable insights and decisions. Enterprise data integration is a complicated problem due to the heterogeneity of data sources and formats, ever-increasing data volumes, and the poor quality of data. Data is typically stored in disparate systems and the result is that there are differences in data format or schema that must be resolved. The constantly decreasing costs of storage lead to increased data retention and a concomitant increase in the volume of data that needs to be processed. In turn, this results in an ever-increasing demand for scalable and high-performance data integration ...

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