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

14 Replies, 1245 Views

Semi structured data is tricky, but once you get the hang of it, it’s not so bad. I always 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.

Messages In This Thread



Users browsing this thread: 1 Guest(s)