Making pd.DataFrame.apply Faster with Bodo

The `apply` function in Pandas can be slow when working with big data, but Bodo offers a faster alternative solution that doesn't require major changes to code or learning new skills. Bodo's performance is unmatched and it provides unlimited scalability compared to other solutions like Spark. A comparison of the `apply` function executed on a Pandas DataFrame in Pandas and Bodo was conducted using the New York City parking violation dataset, which is notorious for being big data that data scientists struggle with. The analysis showed a 30X improvement in performance when using Bodo compared to Pandas, making it a modern solution to speed up data wrangling without modifying source code. Bodo has achieved significant milestones in 2022, including simplifying data management with the Iceberg connector and creating ETL pipelines, demonstrating its potential as an open data warehouse of the future.

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