Database Integration Using SQL Server Integration Services

The ability to seamlessly integrate, transform, and load data is paramount for organizations seeking meaningful insights to drive informed decision-making.

SQL Server Integration Services (SSIS) stands as a powerful tool in data integration, enabling users to design and execute the Extract, Transform, Load (ETL) processes.

It empowers data professionals to build scalable and flexible solutions for handling data from various sources, transforming it as needed, and delivering it to the desired destinations.

From this course, you will learn about SQL Server Integration Services (SSIS), and how to design, develop, and deploy SSIS packages to extract, transform, and load (ETL) data from a variety of sources to various destinations.

Duration

10 days

Who Should Attend

1. Database Administrators and Developers
2. Project Managers, Analysts, and Testers
3. Big Data and Hadoop Professionals
4. Business Intelligence Developers
5. Data Engineers

Course Prerequisites

1. Basic understanding of relational databases and SQL
2. Familiarity with SQL Server Management Studio (SSMS)

Course Objectives

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

Course Outline

Module 1: Introduction to SSIS

1. Overview of ETL (Extract, Transform, Load) processes
2. Understanding the role of SSIS in data integration
3. SSIS architecture and components

Module 2: Getting Started with SSIS

1. Installing and configuring SQL Server Data Tools (SSDT)
2. Creating a new SSIS project
3. Introduction to SSIS packages, tasks, and containers

Module 3: SSIS Data Flow

1. Exploring the Data Flow task
2. Source and destination connections
3. Data transformations and data types
4. Data flow debugging and error handling

Module 4: Control Flow in SSIS

1. Understanding control flow elements
2. Sequence containers and tasks
3. Conditional and looping constructs
4. Error handling and logging in control flow

Module 5: Variables and Expressions

1. Working with SSIS variables
2. System and user-defined variables
3. Expressions and configurations
4. Scripting in SSIS

Module 6: Data Flow Transformations

1. Lookup, Merge, and Union transformations
2. Multicast and Conditional Split transformations
3. Slowly Changing Dimension (SCD) transformations

Module 7: Deployment and Execution

1. Package deployment options
2. Configurations and package deployment
3. Executing and scheduling SSIS packages
4. SSIS Security

Module 8: Best Practices and Performance Tuning

1. Best practices for designing SSIS packages
2. Performance optimization techniques
3. Troubleshooting common performance issues

Module 9: Working with External Data Sources

1. Connecting to different data sources (Excel, CSV, flat files)
2. Working with REST APIs in SSIS
3. Incorporating data from cloud platforms
4. Integration with other SQL Server Services

Module 10: SSIS and Big Data

1. Overview of SSIS in the context of big data
2. Using SSIS with Hadoop and other big data platforms
3. Extracting, transforming, and loading big data with SSIS
4. Version Control and Source Code Management

Module 11: SSIS and Power BI Integration

1. Loading data into Power BI from SSIS
2. Using SSIS for data preparation in Power BI
3. Real-time analytics with SSIS and Power BI

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Course Administration Details

Methodology

The instructor-led trainings are delivered using a blended learning approach and comprises presentations, guided sessions of practical exercise, web-based tutorials, and group work.

Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. Therefore, the participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued an IRES certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held virtually/via Zoom.

The course fee covers the course tuition, training materials, two break refreshments, and lunch.

All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

In addition to our virtual training, we conduct training in Kenya (Nairobi, Mombasa, Kisumu, Nakuru, and Naivasha) and in the following locations:

1. Dubai - United Arab Emirates
2. Cairo - Egypt
3. Johannesburg, Pretoria, and Cape Town - South Africa
4. Zanzibar, Dar-es-Salaam, and Arusha - Tanzania
5. Kigali - Rwanda
6. Accra - Ghana
7. Kampala - Uganda

Accommodation and Airport Transfer

Upon request, we can arrange accommodation and airport transfer.

For reservations and bookings, kindly contact us at:

• Email: [email protected]
• Phone: +254715 077 817

Tailor-Made Program

Upon request, we can customize this training to suit the needs of you or your institution.

You can have it delivered virtually, face-to-face at our training centers or a convenient location.

For further inquiries, please contact us.