Course Details

Training On Database Intergration Using SQL Server Integration Services (SSIS)

INTRODUCTION

In today's data-driven environment, organizations rely on effective data integration solutions to consolidate information from various sources, transform it for analysis, and load it into target systems. SQL Server Integration Services (SSIS) is a powerful ETL (Extract, Transform, Load) tool that provides the capabilities necessary to design and implement robust data integration workflows.

The Database Integration Using SQL Server Integration Services course is designed to equip IT professionals, data engineers, and database administrators with the skills needed to effectively utilize SSIS for data integration tasks. Participants will learn how to create and manage data integration solutions that streamline data movement, ensure data quality, and support business intelligence initiatives.

Throughout this course, participants will explore the core features of SSIS, including its architecture, control flow and data flow components, and various transformation techniques. The course emphasizes hands-on experience, allowing participants to develop real-world ETL solutions, handle errors, and optimize performance.

DURATION

10 days

TARGET AUDIENCE

• Database Administrators and Developers
• Project Managers, Analysts, and Testers
• Big Data and Hadoop Professionals
• Business Intelligence Developers
• Data Engineers

OBJECTIVES

At the end of the course, the participants will be able to:

•  Understand the fundamentals of SSIS architecture and components
• Design and build SSIS packages using SQL Server Data Tools (SSDT)
• Utilize SSIS built-in tasks and transformations for data extraction, transformation, and loading (ETL)
• Implement control flow and data flow components to manage package execution
• Configure and deploy SSIS packages to the SSIS Catalog
• Monitor and troubleshoot SSIS packages for optimal performance

COURSE OUTLINE

Module 1: Introduction to SQL Server Integration Services

• Overview of SSIS:
  • Introduction to data integration and ETL processes.
  • Key features and components of SSIS.
• Understanding SSIS Architecture:
  • SSIS package structure and execution.
  • Control flow vs. data flow in SSIS.

Module 2: Setting Up the SSIS Environment

• Installing SQL Server Data Tools (SSDT):
  • Installation and configuration of SSDT.
  • Overview of the SSIS development environment.
• Creating and Managing SSIS Projects:
  • Creating new SSIS projects and packages.
  • Managing project properties and settings.

Module 3: Control Flow in SSIS

• Control Flow Tasks:
  • Overview of control flow tasks and their usage.
  • Implementing tasks such as Execute SQL Task, File System Task, and Script Task.
• Using Containers:
  • Grouping tasks using Sequence Containers and Foreach Loop Containers.
  • Implementing precedence constraints for task execution control.

Module 4: Data Flow in SSIS

• Data Flow Architecture:
  • Understanding the data flow components.
  • Overview of data sources and destinations.
• Data Flow Tasks:
  • Using OLE DB Source, Flat File Source, and other data sources.
  • Transforming data using transformations like Derived Column, Lookup, and Aggregate.

Module 5: Data Transformations

• Implementing Common Transformations:
  • Using data conversion, conditional split, and merge transformations.
  • Implementing lookup transformations for reference data.
• Creating Custom Transformations:
  • Introduction to Script Component for custom transformations.
  • Writing scripts in C# or VB.NET for advanced data manipulation.

Module 6: Handling Errors and Debugging

• Error Handling in SSIS:
  • Configuring error outputs for data flow components.
  • Implementing event handlers for package-level error handling.
• Debugging SSIS Packages:
  • Using breakpoints and data viewers for troubleshooting.
  • Best practices for debugging and validating packages.

Module 7: Deployment and Execution of SSIS Packages

• Deploying SSIS Packages:
  • Overview of deployment models: project deployment vs. package deployment.
  • Deploying packages to SQL Server and the SSIS Catalog.
• Executing SSIS Packages:
  • Running packages from SQL Server Management Studio (SSMS).
  • Scheduling package execution using SQL Server Agent.

Module 8: Integration with Other SQL Server Services

• SSIS and SQL Server Database:
  • Integrating SSIS with SQL Server for data movement and transformation.
• SSIS with Reporting Services:
  • Using SSIS to prepare data for SQL Server Reporting Services (SSRS).
• SSIS with Analysis Services:
  • Loading data into SQL Server Analysis Services (SSAS) cubes.

Module 9: Performance Tuning and Optimization

• Optimizing SSIS Packages:
  • Techniques for improving data flow performance.
  • Best practices for managing memory and resources in SSIS.
• Monitoring and Logging:
  • Implementing logging to capture execution details and performance metrics.
  • Using SQL Server Profiler and DMVs for performance monitoring.

Module 10: Advanced SSIS Features

• Using SSIS Expressions:
  • Implementing expressions for dynamic configurations and parameters.
• Working with SSIS Variables:
  • Creating and using variables for managing data within packages.
• Utilizing Configurations:
  • Implementing package configurations for flexible deployments.

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com