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

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Semi structured data can be a pain, but it’s manageable with the right tools. I always clean and normalize first—it saves so much time later.

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

If you’re dealing with a lot of data, maybe look into Apache Spark? It’s great for handling large volumes of semi structured data.

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