SSIS Training in Latvia

SQL Server Integration Services (SSIS) is a component of Microsoft SQL Server that provides a platform for data integration and workflow applications. It is used for data migration, warehousing, and transformation tasks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals and developers who wish to focus on designing advanced SSIS data flows, transformations, and managing Slowly Changing Dimensions (SCD) for data warehousing scenarios.

By the end of this training, participants will be able to:

• Design and implement robust data flows using SSIS.
• Work with a variety of data sources, destinations, and transformations.
• Implement Slowly Changing Dimensions (SCD) for handling historical data changes.
• Deploy, execute, and troubleshoot SSIS packages effectively.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Latvia (online or onsite) is aimed at beginner-level data professionals who wish to learn how to design, implement, and manage SSIS packages to perform data integration and transformation tasks.

By the end of this training, participants will be able to:

• Understand the architecture and components of SSIS.
• Design and implement ETL processes using SSIS.
• Use SSIS tools to develop, deploy, and manage data integration solutions.
• Troubleshoot and optimize SSIS packages for performance and reliability.

This instructor-led, live training in Latvia (online or onsite) is aimed at beginner to intermediate-level developers and database administrators who wish to gain proficiency in SQL Server 2012 Integration Services.

By the end of this training, participants will be able to:

• Understand the principles of ETL and the role of SSIS.
• Create, deploy, and manage SSIS packages.
• Design and implement Control Flow to define the flow of tasks in a package.
• Implement Workflow and set up constraints for effective task execution.
• Construct Data Flows to extract, transform, and load data.
• Work with Variables and Containers to enhance package flexibility.
• Manage Transactions to ensure data consistency.
• Implement effective error handling and debugging techniques.
• Set up Logging for tracking and monitoring.
• Handle Slowly Changing Dimensions for managing changing data.
• Deploy a Package for production use.
• Implement Security measures to protect sensitive data.
• Utilize Scripting to extend SSIS functionality.
• Apply Best Practices for efficient and maintainable SSIS solutions.