Q4 - 2019
- Goal 1 - Deliver a Version 1 product that is faster and easier to use for a simple table data set than data masking/anonymising of production data
- Improve the usability of data helix by making the profile json schema less verbose, better structured and more intuitive
- Host a Sandbox Data Helix UI and AWS lambda backed backend so users can load/edit and data helix profiles and see the results they generate all on a single web page.
- add ability to configure a weighted distribution for user defined types
- add ability for fields to depend on data in other fields, starting with date columns. Eg DATE 1 = DATE 2 + N DAYS
- add ability to call at least one 3rd party generator tool's data generators within data helix
- provide ability for users of data helix to integrate their own custom generators and reference them in the profile file.
- add ability to define unique combinations of fields within data helix via a multi-column csv file.
Q1 - 2020
- Goal 2 - Scale out users wise
- This will involve implementing new features that enable this which will get from feedback from new users
Q2 - 2020
- Goal 3 - Enhance to satisfy Foreign Keys In Db Tables Use Case
- Goal 4 - Enhance to satisfy component streaming Use Case (Kafka, Kinesis, heading for the future)