Course Code: 19271

55321 SQL Server Integration Services - SSIS

Class Dates:
3/10/2025
Length:
5 Days
Cost:
$2725.00
Class Time:
Technology:
Server
Delivery:
Instructor-Led Training, Virtual Instructor-Led Training

Overview

  • Course Overview
  • The SQL Server Integration Services (SSIS) course provides a comprehensive overview of SSIS, a powerful data integration and workflow application platform for SQL Server. Students will learn to use the Import/Export Wizard, work with solutions and projects, understand basic control flow, and explore common tasks. The course delves into data flow sources, destinations, transformations, dynamic package creation, containers, troubleshooting, and package reliability. Additionally, students will learn how to deploy to the SSIS Catalog, install and administer SSIS, and secure the SSIS Catalog. Throughout the course, hands-on labs help students gain practical experience and apply their knowledge to real-world scenarios.

    This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation.
  • Audience
  • The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.

    At Course Completion

    Create sophisticated SSIS packages for extracting, transforming, and loading data
    Use containers to efficiently control repetitive tasks and transactions
    Configure packages to dynamically adapt to environment changes
    Use Data Quality Services to cleanse data
    Successfully troubleshoot packages
    Create and Manage the SSIS Catalog
    Deploy, configure, and schedule packages
    Secure the SSIS Catalog

Prerequisites

  • Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required.
    Basic knowledge of the Microsoft Windows operating system and its core functionality.
    Working knowledge of relational databases.
    Some experience with database design.

Course Disclaimer

*Course Cost listed does not include the cost of courseware $ 200. Course is subject to a minimum enrollment to run. Course may run virtually as a Virtual Instructor-Led (VILT) class if the minimum enrollment is not met. If the course is under the minimum enrollment the course may run as 4 day class (Bootcamp Style). For more information, please contact learn@vtec.org or call 207-775-0244.

Course Details

  • Module 1: SSIS Overview
  • Import/Export Wizard
  • Exporting Data with the Wizard
  • Common Import Concerns
  • Quality Checking Imported/Exported Data
  • Lab 1: SSIS Overview
  • Use the Import/Export Wizard from SSMS
  • Module 2: Working with Solutions and Projects
  • Working with SQL Server Data Tools
  • Understanding Solutions and Projects
  • Working with the Visual Studio Interface
  • Lab 1: Working with Solutions and Projects
  • Import and run a package in SSDT-BI
  • Module 3: Basic Control Flow
  • Working with Tasks
  • Understanding Precedence Constraints
  • Annotating Packages
  • Grouping Tasks
  • Package and Task Properties
  • Connection Managers
  • Favorite Tasks
  • Lab 1: Basic Control Flow
  • Precedence Constraints and Execute SQL Task
  • Module 4: Common Tasks
  • Analysis Services Processing
  • Data Profiling Task
  • Execute Package Task
  • Execute Process Task
  • Expression Task
  • File System Task
  • FTP Task, Hadoop Task, Script Task Introduction
  • Send Mail Task,Web Service Task, XML Task
  • Lab 1: Common Tasks
  • Create a package to copy a file and send an email message on completion
  • Create a package to perform data profiling and then review the results
  • Create a master package and test the execution flow of the child packages
  • Module 5: Data Flow Sources and Destinations
  • The Data Flow Task
  • The Data Flow SSIS Toolbox
  • Working with Data Sources
  • SSIS Data Sources
  • Working with Data Destinations
  • SSIS Data Destinations
  • Lab 1: Data Flow Sources and Destinations
  • Working with Data Sources and Destinations
  • Module 6: Data Flow Transformations
  • Transformations
  • Configuring Transformations
  • Lab 1: Data Flow Transformations
  • Working with Derived Column Transformations
  • Working with Lookup Transformations
  • Module 7: Making Packages Dynamic
  • Features for Making Packages Dynamic
  • Package Parameters, Project Parameters
  • Variables, SQL Parameters
  • Expressions in Tasks
  • Expressions in Connection Managers
  • After Deployment
  • How It All Fits Together
  • Lab 1: Making Packages Dynamic
  • Making a Package Dynamic
  • Module 8: Containers
  • Sequence Containers
  • For Loop Containers
  • Foreach Loop Containers
  • Lab 1: Containers
  • Use a Foreach Loop container to send a custom email to the names found in a database view
  • Module 9: Troubleshooting and Package Reliability
  • Understanding MaximumErrorCount
  • Breakpoints
  • Redirecting Error Rows
  • Logging
  • Event Handlers
  • Using Checkpoints
  • Transactions
  • Lab 1: Troubleshooting and Package Reliability
  • Creating a Script Task to Merge Error Messages
  • Configure a package to use transactions
  • Module 10: Deploying to the SSIS Catalog
  • The SSIS Catalog
  • Deploying Projects
  • Working with Environments
  • Executing Packages in SSMS
  • Executing Packages from the Command Line
  • Deployment Model Differences
  • Lab 1: Deploying to the SSIS Catalog
  • Deploying a Project to the SSIS Catalog
  • Manually executing a Package
  • Module 11: Installing and Administering SSIS
  • Installing SSIS
  • Upgrading SSIS
  • Managing the SSIS Catalog
  • Viewing Built-in SSIS Reports
  • Managing SSIS Logging and Operation Histories
  • Automating Package Execution
  • Lab 1: Installing and Administering SSIS
  • Automating Package Execution
  • Module 12: Securing the SSIS Catalog
  • Principals
  • Securables
  • Grantable Permissions
  • Granting Permissions
  • Configuring Proxy Accounts
  • Lab 1: Securing the SSIS Catalog
  • Securing the SSIS Catalog