Data cleansing is a major part of every project that uses data to create information. In this course, Mastering ETL: Data Cleansing Techniques for SQL Server Databases, you’ll gain the ability to create SQL Server Integration Services (SSIS) packages specifically tailored for data cleansing tasks. First, you’ll explore how to integrate data coming from different sources and identify possible data cleansing tasks, like handling duplicate data, dealing with missing values (delete, ignore, or fill-in data), fixing up formats, and correcting errors. Next, you’ll discover several ways in which SSIS packages can help you clean your data, using derived columns, fuzzy grouping / fuzzy lookup, and data conversions. Finally, you’ll learn techniques to maintain and verify data integrity after the cleansing process in SSIS. When you’re finished with this course, you’ll have the skills and knowledge of various data cleansing techniques, performed in SSIS, needed to ensure the integrity of your data.
Author Name: Ana Voicu
Author Description:
Ana Voicu is a seasoned data engineer with a deep passion for databases, business intelligence, and data science. She specializes in developing enterprise-level Business Intelligence solutions across diverse industries, focusing on performance optimization, pattern recognition, efficient business process analysis, and interactive visualizations. Ana thrives on tackling database performance challenges, particularly those involving high data volume applications. Beyond her technical expertise, she… more