MS-55120: Quick SQL Server Integration Services 2012

COURSE OUTLINE:

Description This two-day instructor-led course is intended for those that are new to SQL Server Integration Services or are interested in learning the features available. This course uses an instructor-led topic explanation, instructor performing detailed demonstrations, then the student performing exercises to duplicate what the instructor demonstrated. This style of training is a combination of traditional classroom training and mentored learning. Additionally, videos of the demonstrations performed by the course author are included with the course as a take-away. The course completes with additional scenario-based labs to reinforce the course content.

Learning Objectives
At Course Completion

After completing this course, students will be able to:

Understand packages.
Manage with Control Flow.
Move data with Data Flow.
Understand variables.
Understand parameters.
Utilize the Import/Export Wizard.
Work in the Explore window.
Create SQL Server Integration Services packages.
Utilize Connection Managers.
Code the Script Task.
Utilize Looping and Sequence Tasks.
Utilize Data Preparation Tasks.
Load data with the Analysis Services Tasks.
Use the Workflow Tasks.
Manage SQL with the SQL Tasks.
Administration of SQL using the SQL Management Objects Tasks.
Optimize sources for extraction.
Use Destinations and understand choices.
Examine the Transformation and other Tasks (about 25 of them).
Create dynamic packages.
Utilize SQL Server Integration Services data typing.
Define and use variables and parameters.
Use expressions in packages.
Utilize sequences in a container.
Utilize container loops.
Perform joins with the Lookup Transformation.
Perform joins with the Merge Transformation.
Examine the SSIS engine.
Use the best practices.
Design to troubleshoot: using Precedence Constraints.
Work with advanced logging and reporting.
Handle errors.
Understand how to choose the Script Task or Script Component.
Work with XML.
Use package hierarchies: Parent Child.
Understand deployment strategies.
Understand how to use what theyâ€™ve learned in real-world scenarios.

Course Outline Module 1: Course Overview This module explains how the class will be structured and introduces course materials and additional administrative information. Lessons

Introduction
Course Materials
Facilities
Prerequisites
What We'll Be Discussing

Lab : Course Overview

None

After completing this module, students will be able to:

Successfully log into their virtual machine.
Have a full understanding of what the course intends to cover.

Module 2: SQL Server Integration Services Architecture In this module we will explore architecture and version changes of SQL Server Integration Services. Weâ€™ll then cover the building blocks needed to understand packages and how they are created. Lessons

Version Changes of SSIS From 2008-2012
The SQL Server Integration Service
Understanding Packages
Managing with Control Flow
Moving Data with Data Flow
Understanding Variables
Understanding Parameters

Lab : SQL Server Integration Services Architecture

Managing with Control Flow
Moving Data with Data Flow
Understanding Variables
Understanding Parameters

After completing this module, students will be able to:

Understand packages.
Manage with Control Flow.
Move data with Data Flow.
Understand variables.
Understand parameters.

Module 3: SQL Server Integration Services Tools In this module we will learn about and utilize the tools available to assist with package creation. Lessons

Utilizing the Import/Export Wizard
Working in the Explore Window
Creating SQL Server Integration Services Packages
Utilizing Connection Managers

Lab : SQL Server Integration Services Tools

Utilizing the Import/Export Wizard
Working in the Explore Window
Creating SQL Server Integration Services Packages
Utilizing Connection Managers

After completing this module, students will be able to:

Utilize the Import/Export Wizard.
Work in the Explore window.
Create SQL Server Integration Services packages.
Utilize Connection Managers.

Module 4: SQL Server Integration Services Tasks SSIS tasks are the foundation of the Control Flow in SSIS. In this module we will walk through tasks and utilize them. Lessons

Coding the Script Task
Looping and Sequence Tasks
Utilizing Data Preparation Tasks
Data Loading with the Analysis Services Tasks
Using the Workflow Tasks
Managing SQL with the SQL Tasks
Administration of SQL Using the SQL Management Objects Tasks

Lab : SQL Server Integration Services Tasks

Coding the Script Task
Utilizing Looping and Sequence Tasks
Utilizing Data Preparation Tasks
Data Loading with the Analysis Services Tasks
Using the Workflow Tasks
Managing SQL with the SQL Tasks
Administration of SQL Using the SQL Management Objects Tasks

After completing this module, students will be able to:

Code the Script Task.
Utilize Looping and Sequence Tasks.
Utilize Data Preparation Tasks.
Load data with the Analysis Services Tasks.
Use the Workflow Tasks.
Manage SQL with the SQL Tasks.
Administration of SQL using the SQL Management Objects Tasks.

Module 5: Data Flow The Data Flow Task is where the bulk of your data heavy lifting occurs in SSIS. In this module weâ€™ll discuss methods for optimizing sources and explain destination options. Lessons

Optimizing Sources for Extraction
Using Destinations and Understanding choices
Examining the Transformation and Other Tasks (about 25 of them)

Lab : Data Flow

Optimizing Sources for Extraction
Using Destinations and Understanding choices
Examining the Transformation and Other Tasks (about 25 of them)

After completing this module, students will be able to:

Optimize sources for extraction.
Use Destinations and understand choices.
Examine the Transformation and other Tasks (about 25 of them).

Module 6: Variables, Parameters and Expressions At one point or another, when utilizing SSIS packages, you will encounter the need for dynamic capabilities. This module aims to give you an understanding of how expressions work, and how variables and parameters set up expressions on your SSIS project. Lessons

Creating Dynamic Packages
Utilizing SQL Server Integration Services Data Typing
Define and Use Variables and Parameters
Using Expressions in Packages

Lab : Variables, Parameters and Expressions

Creating Dynamic Packages
Utilizing SQL Server Integration Services Data Typing
Define and Use Variables and Parameters
Using Expressions in Packages

After completing this module, students will be able to:

Create dynamic packages.
Utilize SQL Server Integration Services data typing.
Define and use variables and parameters.
Use expressions in packages.

Module 7: Containers Containers are objects in SQL Server Integration Services that provide structure to packages and services to tasks. In this module we will explain how to create and configure containers, and utilize them effectively. Lessons

Overview of Containers
Utilizing Sequences in a Container
Utilizing Container Loops

Lab : Containers

Utilizing Sequences in a Container
Utilizing Container Loops

After completing this module, students will be able to:

Utilize sequences in a container.
Utilize container loops.

Module 8: Performing Joins By using joins, you can retrieve data from two or more tables based on logical relationships between the tables. In this module we will explore joins and demonstrate how to use them. Lessons

Performing Joins with the Lookup Transformation
Performing Joins with the Merge Transformation
Utilizing Cache Modes in Joins

Lab : Performing Joins

Performing Joins with the Lookup Transformation
Performing Joins with the Merge Transformation

After completing this module, student will be able to:

Perform joins with the Lookup Transformation.
Perform joins with the Merge Transformation.

Module 9: Tuning SQL Server Integration Services Packages Before putting your package into production, it is beneficial to take some time to review your package with an eye toward preventing, or at least mitigating, performance problems. In this module we will take a close look at how the SSIS engine works and cover best practices to ensure proper performance. Lessons

Examining the SSIS Engine
Using the Best Practices

Lab : Tuning SQL Server Integration Services Packages

Examining the SSIS Engine
Using the Best Practices

After completing this module, students will be able to:

Examine the SSIS engine.
Use the best practices.

Module 10: Debugging SQL Server Integration Services Packages This module describes procedures for debugging SSIS packages and follows with a section on error handling. Lessons

Designing to Troubleshoot: Using Precedence Constraints
Working with Advanced Logging and Reporting
Handling Errors

Lab : Debugging SQL Server Integration Services Packages

Designing to Troubleshoot: Using Precedence Constraints
Working with Advanced Logging and Reporting
Handling Errors

After completing this module, students will be able to:

Design to troubleshoot: using Precedence Constraints.
Work with advanced logging and reporting.
Handle errors.

Module 11: Common SQL Server Integration Services Design Patterns Design patterns help to solve common problems encountered when developing data integration solutions. In this module weâ€™ll discuss how to choose among certain options, and cover deployment strategies. Lessons

Choosing the Script Task or Script Component
Working with XML
Using Package Hierarchies: Parent Child
Understanding Deployment Strategies

Lab : Common SQL Server Integration Services Design Patterns

Working with XML
Using Package Hierarchies: Parent Child

After completing this module, students will be able to:

Understand how to choose the Script Task or Script Component.
Work with XML.
Use package hierarchies: Parent Child.
Understand deployment strategies.

Module 12: Installing, Upgrading, and Migrating to Windows 7 This module includes concept reinforcement scenarios to encourage students to use what theyâ€™ve learned throughout this course. Scenario solutions are provided. Lessons

Scenario 1
Scenario 2
Scenario 3

Lab : Concept Reinforcement Scenarios

Scenario 1 Solution
Scenario 2 Solution
Scenario 3 Solution

After completing this module, students will be able to:

Understand how to use what theyâ€™ve learned in real-world scenarios.

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