Parquet is Awesome for AWS Cost Optimization

​In FinOps, leveraging Parquet’s columnar storage format with tools like Amazon S3 and Athena can significantly reduce data transfer and storage costs. These are key factors in cutting your AWS bill while also speeding up queries.

But here’s where it gets even better: combining Parquet with Python enables powerful cost analysis and automation. With libraries like Pandas and PyArrow, you can process Parquet files efficiently and build custom FinOps dashboards to track and optimize cloud spend in  real time!

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Ready to Explore Parquet and Python for FinOps?
Are you already using Parquet and Python in your FinOps toolkit, or are you considering them to optimize your cloud costs? Let’s dive deeper into how these tools can transform your cost management strategy. Join the conversation over on LinkedIn, or connect with me directly on my LinkedIn page to learn more or explore how we can help your organization achieve AWS cost optimization success!