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Update the README #218

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Jul 3, 2024
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Update the README #218

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4 changes: 3 additions & 1 deletion README.md
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Expand Up @@ -18,7 +18,9 @@ There are 4 main components of Deequ, and they are:
![](imgs/pydeequ_architecture.jpg)

## 🎉 Announcements 🎉
- **NEW!!!** 1.1.0 release of Python Deequ has been published to PYPI https://pypi.org/project/pydeequ/. This release brings many recency upgrades including support up to Spark 3.3.0! Any feedbacks are welcome through github issues.
- **NEW!!!** The 1.4.0 release of Python Deequ has been published to PYPI https://pypi.org/project/pydeequ/. This release adds support for Spark 3.5.0.
- The latest version of Deequ, 2.0.7, is made available With Python Deequ 1.3.0.
- 1.1.0 release of Python Deequ has been published to PYPI https://pypi.org/project/pydeequ/. This release brings many recent upgrades including support up to Spark 3.3.0! Any feedbacks are welcome through github issues.
- With PyDeequ v0.1.8+, we now officially support Spark3 ! Just make sure you have an environment variable `SPARK_VERSION` to specify your Spark version!
- We've release a blogpost on integrating PyDeequ onto AWS leveraging services such as AWS Glue, Athena, and SageMaker! Check it out: [Monitor data quality in your data lake using PyDeequ and AWS Glue](https://aws.amazon.com/blogs/big-data/monitor-data-quality-in-your-data-lake-using-pydeequ-and-aws-glue/).
- Check out the [PyDeequ Release Announcement Blogpost](https://aws.amazon.com/blogs/big-data/testing-data-quality-at-scale-with-pydeequ/) with a tutorial walkthrough the Amazon Reviews dataset!
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