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SSIS (SQL Server Integration Services)

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Reviews 4.9 (4.6k+)
Rated 4.7 out of 5

Learners : 1080

Duration :  25 Days

About Course

🌐 What Is SQL Server Integration Services ?

SQL Server Integration Services is a powerful ETL (Extract, Transform, Load) tool provided by Microsoft as part of the SQL Server suite. It enables organizations to extract data from multiple sources, transform it into a usable format, and load it into target databases or data warehouses efficiently.
SSIS is widely used in data warehousing, business intelligence, and analytics projects to automate complex data integration workflows. It supports high-performance data extraction, transformation, and loading, along with error handling, logging, and workflow management.

Core Capabilities Include:

  • Data Integration: Extract data from diverse sources such as SQL Server, Oracle, flat files, Excel, and cloud platforms.
  • Data Transformation: Perform data cleansing, aggregation, and business rule application.
  • Workflow Automation: Automate ETL processes with control flow, precedence constraints, and tasks.
  • Error Handling & Logging: Track, debug, and resolve ETL issues efficiently.
  • Performance Optimization: Handle large volumes of data with optimized data flows.
  • Deployment & Scheduling: Deploy packages to SQL Server and schedule using SQL Server Agent or SQL Server Catalog.
  • Security & Configuration: Protect sensitive data and configure packages for multiple environments.

📊 Course Features Typically Included

Top online platforms (like Viswa Online Trainings, Udemy, Coursera, and MindMajix) offer the following features for SQL Server Training:
✅ Live instructor-led sessions and recorded tutorials
✅ Hands-on practice with SQL Server Designer in SQL Server Data Tools (SSDT)
✅ Real-world ETL projects and case studies
✅ Certification and interview preparation support
✅ Lifetime access to learning materials, sample packages, and SQL Server
✅ Step-by-step guidance for building, debugging, and deploying ETL workflows

🎓 Key Learning Outcomes

After completing the SQL Server Training, learners will be able to:

  • Understand SQL Server architecture, components, and workflow design
  • Build ETL packages using control flow, data flow, and tasks
  • Perform data extraction, transformation, and loading from multiple sources
  • Implement error handling, logging, and notifications in ETL processes
  • Optimize data flow performance and package execution
  • Deploy and schedule SSIS packages for automated workflows
  • Integrate SSIS with SQL Server, Azure Data Factory, and other BI tools
  • Apply best practices for ETL development, debugging, and maintenance

Roles Prepared For:

  • SQL Server Developer / ETL Developer
  • Data Integration Specialist
  • SQL Server Database Developer
  • Business Intelligence (BI) Developer
  • Data Warehouse Engineer

📍 Bonus: Certification Tracks

Learners can pursue globally recognized certifications such as:

  • 🏅 Microsoft Certified: Data Analyst Associate SQL Server
  • 🏅 Microsoft Certified: Azure Data Engineer Associate SQL Server
  • 🏅 Viswa Online Trainings – SSIS Professional Certification SQL Server

SSIS Training Course Syllabus

Introduction to SQL Server Integration Services Product History
  • Package Architecture Overview
  • Development and Management Tools
  • Deploying and Managing SSIS Packages
  • Source Control for SSIS Packages
DBAs: Using SQL Server Management Studio
  • The Import and Export Wizard
  • Importing and Exporting Data
  • Working with Packages
  • Database Maintenance Plans
  • Creating Database Maintenance Plans using SSMS
  • Scheduling and Executing Plans
  • Examining Database Maintenance Plan Packages
Business Intelligence Development Studio (BIDS)
  • Launching BIDS
  • Project templates
  • The package designer
  • The Toolbox
  • Solution Explorer
  • The Properties window
  • The Variables window
  • The menu
Introduction to Control Flow in MSBI
  • Control Flow Overview
  • Precedence Constraints
  • Execute SQL Task
  • Bulk Insert Task
  • File System Task
  • FTP Task
  • Send Mail Task
Advanced Control Flow
  • Containers – grouping and looping
  • Web Service Task
  • WMI tasks
  • Analysis Services tasks
  • Execute Process Task
  • Execute Package Task
Introduction to Data Flow
  • Data Flow Overview
  • Data Sources
  • Data Destinations
  • Data Transformations
  • Copy Column Transformation
  • Derived Column Transformation
  • Data Conversion Transformation
  • Conditional Split Transformation
  • Aggregate Transformation
  • Sort Transformation
  • Data Viewers
Variables and Configurations
  • Variables Overview
  • Variable scope
  • SSIS system variables
  • Using variables in control flow
  • Using variables in data flow
  • Using variables to pass information between packages
  • Property expressions
  • Configuration Overview
  • Configuration options
  • Configuration discipline
Debugging, Error Handling, and Logging
  • Debugging overview
  • Breakpoints 
  • Debugging windows
  • Control Flow: The OnError event handler
  • Data Flow: Error data flow
  • Configuring Package Logging
  • Built-in log providers
Advanced-Data Flow in MSBI
  • Revisiting data sources and destinations
  • He Lookup Transformation
  • Getting Fuzzy: The Fuzzy Lookup and Fuzzy Grouping Transformations
  • Multicast Transformation
  • Merge and Merge Join Transformations
  • Data Mining Query Transformation
  • Data Mining Model Training Destination
  • Slowly Changing Dimension Transformation
Extending through Custom Code
  • Introduction to SSIS scripting
  • Script editor
  • Object model
  • Script in Control flow: The Script Task
  • Script in Data flow: The Script Component
  • Introduction component development
SSIS Package Deployment
  • Configurations and deployment
  • Deployment utility
  • Deployment options
  • Deployment security
  • Executing packages – DTExec and DTExecUI
  • Data Mining Model Training Destination
  • Slowly Changing Dimension Transformation
SSIS Package Management
  • SSIS Service
  • Managing packages with SQL Server Management Studio Scheduling packages with SQL Server Agent
SSIS Course Key Features

Course completion certificate

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SSIS Online Training FAQ'S

What is SQL Server Integration Services (SSIS)?

SSIS is a data integration and workflow tool in SQL Server that supports ETL processes for data migration, cleansing, and loading into warehouses.

What are SSIS packages, and how are they used?

An SSIS package is a unit of work containing tasks, control flows, and data flows, used to execute ETL processes.

Differentiate between control flow and data flow in SSIS.

Control flow defines the workflow and task execution order, while data flow is used to move and transform data between sources and destinations.

How is error handling implemented in SSIS?

SSIS provides event handlers, checkpoints, and redirection of bad records to manage and troubleshoot ETL errors effectively.

What are some common SSIS transformations?

Transformations include merge join, lookup, conditional split, derived column, and aggregation, enabling complex data manipulation during ETL.

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