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Automating Data Cleansing in SQL Server

by Ian Fogelman

SQL Server offers powerful native tools for data cleansing. Without using a third-party solution for data cleansing, you can enhance data quality with TSQL. This course will teach you solutions and best practices for data cleaning in SQL Server.

What you'll learn

Have you ever wondered the quickest and lowest maintenance way to solve data quality issues in SQL Server? In this course, Automating Data Cleansing in SQL Server, you’ll gain the ability to automate stored procedures and write TSQL to help improve data quality for your SQL Server environment. First, you’ll explore stored procedures. You will learn how to create, alter, and delete stored procedures. Next, you’ll discover how to use the SQL Server agent to schedule your stored procedures and data cleansing jobs. Finally, you’ll learn how to set up SQL Server alerts to let you know when data anomalies have occurred and may need your attention. When you’re finished with this course, you’ll have the skills and knowledge of using native SQL Server solutions needed to design data cleaning solutions on the platform.

About the author

Ian is a cloud data engineer focusing on data management and cloud solutions. He has a passion for database technologies, particularly Snowflake, and enjoys building efficient data pipelines. Skilled in SQL, Python, and ETL tools like Apache Airflow, Ian is experienced in creating scalable databases and optimizing data processes. He also contributes to tech blogs and designs practical learning content.

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