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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:

SSRS / 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

Live Instructor based training with software
Certification Oriented content
Hands-on complete Realtime training
Flexible schedule demo's & classes
Live recorded videos access
Study material provided
JOB Assistance

Course completion certificate

SSIS Training - Upcoming Batches

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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.

Explore Learning Resources on Pinterest

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.

Reviews

    
 
 
         
   Chandu Gutlapalli 
 
 
 
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   Pudi Nithish 
 
 
 
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   Rahul Dharmapuri 
 
 
 
 Trustindex verifies that the original source of the review is Google. Good Institute
  
 
        
   Sai kiran 
 
 
 
 Trustindex verifies that the original source of the review is Google. Great institute, chaithanya sir is friendly, highly recommend for both beginner and working professionals
  
 
        
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   S I V A ROCK 
 
 
 
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   Nikil 
 
 
 
 Trustindex verifies that the original source of the review is Google. The course was very well structured. I have taken Weblogic Admin Training. My learning journey was excellent at VISWA Online Trainings!
  
 
        
   Monica Benny 
 
 
 
 Trustindex verifies that the original source of the review is Google. I recently completed the Oracle Analytics Cloud (OAC) and Fusion Data Intelligence (FDI) training program with Viswa Training, and it has been an exceptional learning experience from start to finish.

The entire journey was well-supported. Chaithanya was extremely responsive, ensuring seamless coordination and assistance throughout the learning process.

The instructor brought a high level of expertise and depth to the classroom. Their extensive knowledge of the subject matter made complex analytical concepts easy to grasp and highly applicable to real-world scenarios.

Thanks to this structured curriculum and expert instruction, I now have a robust, comprehensive understanding of Oracle Analytics Cloud technology. Highly recommended for anyone looking to upskill in enterprise analytics!

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