A common scenario:
- Dev/QA teams need a good realistic set of data in their database to test with.
- There is already a great source for this data : the production database
- But … the production database contains customer PII. Using it as-is for testing would be very poor privacy hygiene and may even be downright illegal, given the ever tightening privacy regulation landscape
The usual solutions:
- The ETL (like) solution: Using tools that were really meant for ETL work and using them to ‘desensitize’ the production database. This route is usually expensive and offers low productivity, since these tools lack the intelligence needed for the specific task at hand, as we shall see later.
- Home grown solutions : Someone writes code to either generate mock data from scratch or do some ‘intelligent’ desensitization of the production database. But this is code that must be written, enhanced and maintained for limited end-user value.
Fortunately, there’s another way: generating your test data with Elten.
The Elten proposition:
In a nutshell, Elten brings test data generation into the cloud & ML age and makes it so that a task that used to take hours to weeks and/or cost tens of thousands of dollars to solve, can be solved in a few minutes.
5-minute videos speak much louder than words:
So that’s a few minutes to accomplish a task that would normally take a few hours with legacy tools or days/weeks with a hand-coded solution.
Once the synthesis has been configured in the UI, REST APIs can be invoked to generate fresh synthetic data as needed from CI/CD jobs.
Find out more at http://www.elten.io or try out the free edition of the product
Elten Blog 