For example, bank codes, phone numbers, email addresses and more. Thus it allows you to stay compliant.Īs mentioned above, a customer can share real data for testing with a provision that some data will be masked. California Consumer Privacy Act (CCPA)ĭata Generator delivers a variety of realistic, usable test data, which is not related to real people. Health Insurance Portability and Accountability Act (HIPAA) in the US

Country-specific and industry-specific acts and regulations, e.g.

Payment Card Industry Data Security Standards (PCI DSS)

General Data Protection Regulation (GDPR), the most global privacy regulation concerning all EU residents.

Testing must not involve sensitive production data, legally protected at multiple levels by a number of privacy laws and regulations: Relations between tables, check constraints, and others are also taken into account. When a project is created, logically meaningful generators for table columns are automatically assigned. Generation tools allow you to quickly create one or more data generation projects for your database and include them in the CI process. New functionality since it is quite possible that one generated sample can pass a set of tests, while the next - generatedįrom the same process - will lead to their failure. This is particularly beneficial when testing

Generation tools allow you to populate the same tables with different data sets. At this point, data generation tools will always come to assistance. The performance of the new functionality. Generation tools allow you to fill the database from scratch, replace the existing data or add new data.Īlso, it is often the case that the customer is ready to share their data with you, but this data is not enough to fully test

And if your functionality works properly with this data, then it will work properly on a customer's server as well. Generation tools allow you to generate an unlimited amount of realistic data. Yet, the CI process implies that it can be performed up to several times a day. And most importantly, during business hours you will receive a refusal from the customer to take pictures since you will simply lock the tables. You can also fill the database with data using replications, but this method will most likely require a production server load and a database administrator involvement. The main one is that customers are often reluctant to share data since they need to spend time on data masking or other measures to protect their confidential information. Taking data for testing functionality from a real customer has many disadvantages and inconveniences. You can do this quickly and easily using generation tools. Therefore, in order to check the efficiency of the new functionality, you will need to fill these tables with data. The development of new functionality often leads to the creation of new tables or modification of the existing ones. Modern data generation tools allow you to generate not just dummy data, but quite meaningful test data.ĭata such as personal names, streets names, email addresses, phone numbers, bank codes and much, much more can be easily generated.

Dbforge data generator for sql server