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SQL Server 2005 Integration Services: Hands-On
You Will Learn How To
  • Migrate and transform data using SQL Server 2005 Integration Services (SSIS)
  • Upgrade DTS packages and perform imports and exports
  • Assemble tasks to perform complex data migrations
  • Enhance package functionality with scripting
  • Extract, Transform and Load (ETL) data
  • Integrate Business Intelligence components

 

Course Benefits

In order to improve business intelligence capabilities, organizations must effectively and securely manage data migration across a myriad of platforms. In this course, you gain the skills to automate complex migration tasks and audit the success or failure of migration processes. You learn to solve data management problems by creating dynamic packages for migrating, processing, and reporting on data for business intelligence.

 

Who Should Attend

SQL Server developers, administrators and analysts who need to migrate and transform data among diverse platforms. A basic knowledge of databases, SQL and scripting is helpful.

 

Hands-On Training

During this course, you perform extensive hands-on exercises that provide in-depth experience. Exercises include:

  • Upgrading packages with the DTS Migration Wizard
  • Converting data among heterogeneous sources: Oracle, Access and others
  • Manipulating package variables with scripting
  • Handling errors and managing exception rows
  • Administering the storage, security and execution of packages
  • Writing data to multiple destinations with multicasting

 

Introduction to Integration Services
  • Defining SQL Server Integration Services
  • Exploring the need for migrating diverse data
  • The role of Business Intelligence (BI)
SSIS Architecture and Tools
Managing heterogenous data
  • Leveraging the Extract, Transform and Load (ETL) capabilities of SSIS
  • Running wizards for basic migrations
  • Creating packages for complex tasks
Illustrating SSIS architecture
  • Distinguishing between data flow pipeline and package runtime
  • Executing packages on the client side or hosted in the SSIS service
Upgrading legacy DTS
  • Executing existing DTS packages in the SSIS environment
  • Converting DTS packages to SSIS with the migration wizard
  • Logging migration results
Implementing Tasks and Containers
Utilizing basic SSIS objects
  • Configuring connection managers
  • Adding data flow tasks to packages
  • Reviewing progress with data viewers
  • Assembling tasks to perform complex data migrations
Operating system level tasks
  • Copying, moving and deleting files
  • Transferring files with the FTP task
  • Reading system information with WMI query language (WQL)
Communicating with external sources
  • Sending messages through mail
  • Detecting system events with WMI
Processing XML
  • Iterating XML nodes
  • Writing XML files from databases
Extending Capabilities with Scripting
Writing expressions
  • Making properties dynamic with variables
  • Building expressions in Expression Builder
Script Task
  • Extending functionality with the Script Task
  • Debugging, breakpoints, watches
Transforming with the Data Flow Task
Performing transforms on columns
  • Converting and calculating columns
  • Transforming with Character Map
Combining and splitting data
  • Merge, Union, Conditional Split
  • Multicasting and converting data
Manipulating row sets and BLOB data
  • Reading and writing binary files
  • Aggregate, sort, audit and look up data
  • Importing and exporting BLOB data
  • Redirecting error rows
Performing database operations
  • Executing a SQL task
  • Bulk inserting data from text files
Error Handling, Logging and Transactions
Organizing package work flow
  • Defining success, failure, completion and expression precedence constraints
  • Handling events and event bubbling
Designing robust packages
  • Choosing log providers
  • Adapting solutions with package configurations
  • Auditing package execution results
Administering Business Intelligence
Managing and securing packages
  • Storing packages in Package Store and msdb
  • Monitoring, backing up, restoring
  • Encrypting packages with passwords and user keys
Integrating with other BI components
  • Displaying data in Reporting Services
  • Publishing data with ASP. NET

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