08/11/2026
Modernize your data workflows with Alteryx and Spark. 🚀
This video showcases an Alteryx-to-Spark migration, demonstrating how an existing Alteryx workflow can be translated into PySpark and executed using AWS EMR Serverless.
From data transformation and joins to filtering, summarization, output generation, and validation, the demonstration highlights a practical approach to modernizing data processing workflows.
The solution uses Amazon S3 for cloud-based data storage and Amazon Redshift to validate the processed results, creating an end-to-end cloud data workflow.
With modern Spark and AWS technologies, organizations can build scalable, flexible, and future-ready data environments.
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