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.
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.
