Demo 9: Migrate PySpark Workloads to Teradata to Fast Track AI/ML, Minimize Costs

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Presented by

Alexander Kolovos, Sr Software Architect

About this talk

This demo features Teradata's new conversion tool, pyspark2teradataml, to seamlessly migrate PySpark workloads to an equivalent format that works in Teradata Vantage with minimal additional coding. During the demo you will see a step-by-step implementation of a workflow using a PySpark-based use case entirely on a Vantage system. With this approach, data scientists can leverage Teradata's truly multi-cloud architecture to develop, train, and score models while limiting data movement from tools such as Databricks.
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