# SDV Enterprise Version 0.3.0

**URL:** <https://forum.datacebo.com/t/sdv-enterprise-version-0-3-0/389>\
**Category:** Release Notes\
**Created:** [July 18, 2023, 4:00am UTC](https://forum.datacebo.com/t/sdv-enterprise-version-0-3-0/389 "2023-07-18T04:00:00Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![neha](https://yyz2.discourse-cdn.com/flex030/user_avatar/forum.datacebo.com/neha/32/15_2.png) [@neha](https://forum.datacebo.com/u/neha)\
**Post date:** [July 18, 2023, 4:00am UTC](https://forum.datacebo.com/t/sdv-enterprise-version-0-3-0/389/1 "2023-07-18T04:00:00Z")

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_Release Date: July 18, 2023_

In this release, we’re adding features that improve synthetic data quality along with bug fixes and security recommendations.

👉 **Improve synthetic data cardinality.** The [HSASynthesizer](https://docs.sdv.dev/sdv/multi-table-data/modeling/synthesizers/hsasynthesizer) will now create synthetic data that conforms to the real multi-table patterns. For example, you can synthesize data with an _exact 1-1_ relationship between entities. Another common case is when a parent entity must have _at least 1_ child.

🌠 **Model and recreate rare events.** You now have more options to synthesize rare events that closely resemble the real data. Use the [UniformEncoder](https://docs.sdv.dev/rdt/transformers-glossary/categorical/uniformencoder) to capture imbalanced categories and the [OutlierEncoder](https://docs.sdv.dev/rdt/transformers-glossary/numerical/outlierencoder) to identify outlier data points.

🎭 **Anonymize PII more realistically.** In your real data, some records may have empty or missing PII attributes. You synthetic data will now include missing values in the correct proportions, leading to more realistic anonymization.

_Additional Updates_

- _Dropping support for Python 3.7. This version has [officially reached its end-of-life](https://devguide.python.org/versions/) and the Python organization will no longer update its security. For your safety, we recommend upgrading Python to 3.8 or above._
- _Bug fixes for datetime columns. We fixed issues that you may have encountered if you stored datetime information as integers._