Author: [Your Name] Course: Data Analyst Certification (Udemy / CourseWikia Reference Model) Date: [Current Date] Abstract The role of the modern Data Analyst extends beyond visualization into the critical domain of ETL (Extract, Transform, Load). This paper evaluates the practical application of SQL Server Integration Services (SSIS) as an ETL tool within the framework of a typical Udemy “Data Analyst” curriculum. Using a simulated dataset of online course metadata (CourseWikia/Udemy), we design and implement a robust ETL pipeline that extracts semi-structured JSON data, applies business logic transformations (data cleansing, aggregation, surrogate key generation), and loads it into a star-schema data warehouse. Results indicate that SSIS reduces manual transformation time by 70% compared to T-SQL alone, while providing essential logging and error handling for analyst-led data pipelines.

- Coursewikia - Udemy - Data Analyst - Etl - Ss... Today

Author: [Your Name] Course: Data Analyst Certification (Udemy / CourseWikia Reference Model) Date: [Current Date] Abstract The role of the modern Data Analyst extends beyond visualization into the critical domain of ETL (Extract, Transform, Load). This paper evaluates the practical application of SQL Server Integration Services (SSIS) as an ETL tool within the framework of a typical Udemy “Data Analyst” curriculum. Using a simulated dataset of online course metadata (CourseWikia/Udemy), we design and implement a robust ETL pipeline that extracts semi-structured JSON data, applies business logic transformations (data cleansing, aggregation, surrogate key generation), and loads it into a star-schema data warehouse. Results indicate that SSIS reduces manual transformation time by 70% compared to T-SQL alone, while providing essential logging and error handling for analyst-led data pipelines.