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  • Book Overview & Buying Microsoft SQL Server 2012 Integration Services: An Expert Cookbook
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Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

3.9 (12)
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Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

3.9 (12)

Overview of this book

SQL Server Integration Services (SSIS) is a leading tool in the data warehouse industry - used for performing extraction, transformation, and load operations. This book is aligned with the most common methodology associated with SSIS known as Extract Transform and Load (ETL); ETL is responsible for the extraction of data from several sources, their cleansing, customization, and loading into a central repository normally called Data Warehouse or Data Mart.Microsoft SQL Server 2012 Integration Services: An Expert Cookbook covers all the aspects of SSIS 2012 with lots of real-world scenarios to help readers understand usages of SSIS in every environment. Written by two SQL Server MVPs who have in-depth knowledge of SSIS having worked with it for many years.This book starts by creating simple data transfer packages with wizards and illustrates how to create more complex data transfer packages, troubleshoot packages, make robust SSIS packages, and how to boost the performance of data consolidation with SSIS. It then covers data flow transformations and advanced transformations for data cleansing, fuzzy and term extraction in detail. The book then dives deep into making a dynamic package with the help of expressions and variables, and performance tuning and consideration.
Table of Contents (23 chapters)
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Microsoft SQL Server 2012 Integration Services: An Expert Cookbook
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1
Index

Text Analysis with Term Lookup and Term Extraction transformations


There are a lot of transformations that help you to analyze numeric data. You can even use aggregate functions in T-SQL to fetch analytic information from numeric data; but what happens when you want to analyze user comments? Those can be freeform texts without any categorization.

Text Analysis is a complete topic in the data analysis category, which discusses fetching analytical information from text data; the text data can be completely freeform text data. Fortunately SSIS provides two useful and advanced transformations for Text Analysis called Term Extraction and Term Lookup.

In this recipe, we will take a look at how we can analyze and mine free text data. Assume that customers of a company share their experiences with the company products with freefrom text comments on the company's website.

Getting ready

Create a Product table in the PacktPub_SSISbook database with the following script:

CREATE TABLE [dbo].[Product](
  ...
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