How to Find Duplicate Rows?
In this use case, we will demonstrate how to identify duplicate customers in a table using iceDQ. By following these steps, you can efficiently detect and address duplicate entries, ensuring data accuracy and reliability.
Steps
Below steps have been followed in the video.
Create Rule
To begin, create a push down rule within the iceDQ platform. Choose an appropriate name for the rule and select the relevant database connection. In this case, we will work with the "demographic information" table.
Preview the Data
Take a closer look at the data present in the "demographic information" table. This table contains information about customers, such as their first name, middle name, last name, and e-mail.
Add Query for Duplicate Check
Write a query to identify duplicate customer IDs within the table. Upon executing the query, you will notice that there are several customers with duplicate entries, indicating potential duplicates in the data.
Publish & Run
Publish the rule and proceed to execute it. During the execution, a warning message will indicate the presence of six duplicates within the data. This step validates the rule against the table, providing valuable insights.
Review Result
Dive deeper into the results to examine the exact duplicate customer IDs. This analysis allows you to identify the specific records with duplicate entries, empowering you to take appropriate action.
Video: How to Find Duplicate Rows?
Conclusion
By following this use case, you can effectively detect and address duplicate customer entries in your table using iceDQ. This capability ensures data integrity and reliability. By extending this approach to other tables and datasets, organizations can maintain clean and accurate data, supporting informed decision-making processes.