Demo: Bringing Python 3.7 to Cloudera Machine Learning
Cloudera Machine Learning (CML) is a powerful platform for enabling big data and machine learning (ML) at scale. But many CML users are still running batch processing with Apache Spark 2, dependent on Python version 3.7 or older, which poses security risks since Python 3.7 has passed End of Life.
In this demo, learn how Python 3.7 extended support helps you remove the risks of running EOL software, so that you can continue to run trusted, hardened data science workloads using Spark 2 on CML, and focus on delivering business value.
This demo is part of our more in-depth webinar, "The Python EOL Trap: Avoiding Legacy Open Source Risks In Your Software Supply Chain". Check out the full webinar here:
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