Book Image

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Book Image

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

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)
Microsoft SQL Server 2012 Integration Services: An Expert Cookbook
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Aggregate Transform: aggregating the data stream


Aggregate Transform provides a way to group data by column(s) and apply aggregation functions on them.

In this recipe we will fetch each Sales Person according to the start and end date of sales and the sum of their sales quota by resorting to an Aggregate Transform.

How to do it...

  1. Create a new Integration Services project and name it R03_Aggregate.

  2. Add a Data Flow Task and in the Data Flow tab add an OLE DB Source and then create a connection to the AdventureWorks2012 sample database. Set the data access mode to SQL Command and enter the following T-SQL code in the SQL Command field:

    SELECT SLHST.QuotaDate, SLHST.SalesQuota, 
      PER.FirstName, PER.LastName 
    FROM Sales.SalesPersonQuotaHistory SLHST 
     INNER JOIN Person.Person PER 
     ON SLHST.BusinessEntityID = PER.BusinessEntityID
  3. Click on Preview and check the structure of your data.

  4. Drag-and-drop an Aggregate Transform right after the OLE DB Source and connect the Data Path to the aggregate transformation...