How Do You Effectively Manage and Analyze Semi-Structured Data in Your Workflow?

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Semi structured data is a challenge, but it’s also super rewarding once you figure it out. I usually start by cleaning and transforming the data into a consistent format.

For JSON, I use jq and Python’s json library. For XML, I prefer BeautifulSoup—it’s super intuitive. And for CSV, Pandas is my go-to.

If you’re looking for a more robust solution, Apache Spark is amazing for handling large volumes of semi structured data. It’s a bit of a learning curve, but worth it.

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