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Microsoft SQL Server 2016 and 2017 Integration Services

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Microsoft SQL Server 2016 and 2017 Integration Services

This 4 day course is intended for IT professionals, business analysts, and developers who need to implement data transfer, or ETL (Extract, Transform, and Load), solutions by using Microsoft SQL Server 2016 or 2017 Integration Services. Students will learn about the SQL Server Data Tools (SSDT) development environment to create SSIS projects and packages, work with Control Flow Tasks, and design Data Flows using a variety of transformations and data sources/destinations (including SQL Server databases, flat files, and Excel). Delegates will also learn about SSIS project and package management, deployment, debugging, error handling, and logging techniques. The training is delivered with plenty of illustrated examples and augmented with practical hands-on exercises.

With the course structure being fully modularised, customised versions of this course can also be devised and delivered. For example, clients interested in only the essentials of SSIS could attend just the first 3 days of the course, omitting the Advanced SSIS Concepts ordinarily covered on day 4.

No prior knowledge of the subject matter is assumed. However, students should ideally be familiar with basic programming concepts, and understand the fundamental design of relational databases and data normalization. Some prior working knowledge of SQL Server 2017 (or earlier), and the use of SQL Server Management Studio, is assumed. Attendees should additionally be familiar with the SQL query language, in particular the SELECT, UPDATE, INSERT, and DELETE statements.

Upon successful completion of this course, students will be able to:


  • Understand the Role SQL Server Integration Services Plays in Business Intelligence
  • Create and Develop Integration Services Projects and Packages in SSDT
  • Understand and Implement Control Flow Tasks
  • Understand and Implement Data Flow Transforms and Components
  • Implement Logging
  • Debug and Implement Error Handling
  • Implement Checkpoints and Transactions
  • Deploy Integration Services Projects and Packages
  • Manage and Secure Integration Services Projects and Packages
  • Understand Basic Data Warehousing Concepts
  • Manage Changing Data with the SSIS CDC Components



1. Introduction to SQL Server Integration Services

Overview of SSIS


2. Getting Started

Using the Import/Export Data Wizard

Using SSDT to Explore a Package

Exploring the SSDT Development Environment


3. Creating SSIS Projects in SSDT

Creating a New SSIS Project and Package in SSDT

Connection Managers


4. Designing Control Flow

Introduction to Control Flow Tasks

Precedence Constraints

File System Task

Script Task

Execute SQL Task

Execute Process Task

Expression Task

Send Mail Task

FTP Task

Execute Package Task

Using the Data Flow Task


5. Designing the Data Flow

Introduction to Data Flow Transforms and Components

Exploring Data Sources

Exploring Data Destinations

Data Conversion Transform

Derived Column Transform

Implementing Data Viewers

Aggregate Transform

Sort Transform

Lookup Transform

Row Count Transform Union All Transform

The Script Component

Conditional Split Transform

OLE DB Command Transform

Fuzzy Lookup Transform

Fuzzy Grouping Transform

Implementing Variables and Expressions

Implementing Parameters


6. Using Containers

Sequence Container

For Loop Container

Foreach Loop Container


7. Logging and Troubleshooting Packages

Logging Package Execution

Custom Logging

Using Event Handlers

Implementing Breakpoints


8. Deploying and Managing Projects and Packages

Create and Configure the SSIS Catalog

Project Deployment

Configure Deployed Projects and Packages

Securing SSIS Packages

Running Packages

Scheduling Package Execution

Incremental Package Deployment




9. Controlling Package Execution

Master Packages

Restarting Packages

Package Transactions & Checkpoints


10. Data Warehousing

Data Warehousing Basics

The Data Profiling Task

Loading Dimension Tables

Understanding Slowly Changing Dimensions

Using the Slowly Changing Dimension Transform

Loading Fact Tables


11. Advanced ETL Scenarios

Loading Data Incrementally

Using SSIS CDC Components