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Advanced Microsoft SQL Server Integration Services(SSIS)Training Program

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Advanced Microsoft SQL Server 2005 Integration Services(SSIS)Training Program Highlights

Microsoft SQL Server 2005 Integration Services (SSIS) is a platform for building high performance data integration solutions, including extraction, transformation, and load (ETL) packages for data warehousing.

In this training program, you will learn how to exploit the advanced features of SSIS Designer to create a SSIS package for a specific purpose. With these ideas and some additional effort you will be able to use SSIS to build high performance data integration solutions.

The cost details for this training program are given below. You can either request to go in for a one on one session which we usually advise or pool in with two more participants at the max. The option of pooling in depends on either you getting the other participants or we having parallel requests at the same time for the same program.
Enquiry Form
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Objective:
On completing the course participants should be able to:
  • Exploit the architecture & extend the application of Integration services
  • Operate on all areas of Business Intelligence Development Studio
  • Build complex ETL packages
  • Deploy & manage SSIS packages
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Audience & Prerequisites:
  • It is recommended to have attended our "SSIS 2005 for Beginners" program
  • This program is designed for candidates familiar with SISS and its basic features
  • It is assumed that delegates are familiar with:
    • Relational Databases and SQL
    • Excel Spreadsheet
    • Microsoft SQL Server / 2005
    • Business Intelligence Development Studio
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Pay as you go:
You pay in three installments. Example: For a single participant following is the pay schedule:

Day 1 Day 2 Day 3
$ 333.34 $ 333.34 $ 333.34
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Pricing (in USD):
No. of participants 1 2 3
Cost (per participant) $ 1000 $ 950 $ 900
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Brief Course Outline:
  • Day 1:
    • Introduction
    • Designing complex packages in BI Development Studio
    • Practical excercise
  • Day 2:
    • Implementing package using complex control flow items
    • Practical excercise
  • Day 3:
    • Implementing package using complex data flow transformations
    • Deploying packages
    • Best practices
    • Practical excercise