55321AC – SQL Server Integration Services — Lesson 2: Data Extraction and Transformation

Lesson Overview

This lesson develops practical understanding of Data Extraction and Transformation within the 55321AC – SQL Server Integration Services learning path.

Learners connect the key concepts to a realistic ETL and data-integration development with SQL Server Integration Services scenario and document the decisions, evidence, risks, and improvement opportunities identified during the activity.

Learning Objectives

• Explain the purpose and role of data extraction and transformation.
• Apply the lesson concepts to a practical ETL and data-integration development with SQL Server Integration Services requirement.
• Recognize security, governance, operational, and quality considerations.
• Validate the result and recommend appropriate next steps.

Topics Covered

• sources and destinations
• transformations
• data conversion and cleansing
• variables and expressions

Hands-On Activity

1. Review the scenario, stakeholders, current process, requirements, and expected outcome.
2. Prepare the required Microsoft environment, design, query, report, script, or configuration.
3. Complete the guided implementation and record important decisions and dependencies.
4. Test the outcome using functional, security, data-quality, and operational checks.
5. Document issues, corrective actions, evidence, and an improvement recommendation.

Validation Checklist

• The solution or analysis matches the documented requirement.
• Configuration, calculations, queries, scripts, or workflows produce the expected result.
• Security, access, governance, data quality, and operational impacts are reviewed.
• Errors and limitations are documented with clear corrective actions.
• The final output includes reusable notes and practical next steps.

Lesson Outcome

After completing this lesson, learners can explain, apply, and validate data extraction and transformation in a realistic workplace scenario.