You can use options as "Copy to Clipboard", "Download", and "Clear All".You will get your TEST MOCK DATA in a moment in the output textbox.For generate SQL data you can define "Table Name" and include "Include CREATE TABLE Statement" and "Include DROP TABLE Statement" options.Output Data Format - Select the fake dataset output format, you can generate CSV, JSON, SQL, ARRAY, OBJECT, and XML data.Number of Rows - Enter the total number of rows required in fake dataset.* Change language if data is not generated for any DATA TYPE. Select your preferred data "Language" for generate localized data.Add Field/Columns - Click on the " + " Add field button to add a column.Define your custom Data Structure - set "Field / Column Title" and select the field type (Data Type) based on your data need.Browse or open Custom Test Mock Data Generator tool.How to use the Custom Test Mock Data Generator tool? Data Format Support by Our Test Data Generator By testing the software with realistic data, developers can identify and address these issues before the software is deployed in a production environment, minimizing the risk of data breaches or other security incidents. In addition, using realistic data can help ensure the security of the software, as it can help identify any vulnerabilities or weaknesses in the system that could be exploited by hackers or other malicious actors. By using real data, testers can identify any discrepancies or inconsistencies in the way the software handles the data, and make necessary improvements to ensure that it works as intended. Realistic data can also help ensure that the software meets the needs of the users, as it can simulate the actual data that will be used by the users. This can help identify potential issues that may not be apparent when using fake or dummy data, and ensure that the software will perform as expected when it is deployed in a production environment. When software is tested with realistic data, it provides a more accurate and comprehensive picture of how the software will behave when used in a real-world scenario. Realistic data is important for testing because it mimics the actual usage of the software or application. Test data is crucial for ensuring the functionality, security, and quality of software applications, and can help catch bugs and errors before they impact users.
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