Project Context and Data Presentation Challenges
In our projects we have seen, data quality issues manifest in various forms, such as NULL values, incorrect formats, invalid characters, duplicate records, and non-ASCII characters to name a few. This article explores SQL functions for identifying and resolving some of the common data quality issues such as NULL values, inconsistent data formats, invalid characters, duplicates, and non-ASCII characters.
Handling NULL Values Resolving Data Format Issues Identifying Invalid Characters Managing Duplicate Records Addressing Non-ASCII Characters Use Case/Examples
Lets start by creating a table and inserting sample data.
—STEP 1: Create Table DDL