Navigate big data with ease: tips for filtering, downloading, and managing large datasets locally

How do you handle not having cloud-based storage when working with big data? What's the fastest way to work with a dataset that's too large to open in Excel? And how do you know which tools are actually worth learning? These questions and more are answered by Taylor Butler as she walks through tips for working with big data.

In this seminar:

• How to approach big data
• Benefits of DuckDB, Polars, API downloads and Parquet files
• Copy/paste code snippets in Python & R
• Tips for building replicable workflows

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