Hey! I feel your pain with semi structured data—it can be a nightmare to wrangle. My go-to is usually starting with cleaning and normalization. I use Python's Pandas for CSV and JSON, but for XML, I swear by lxml. It’s way faster than the built-in XML libs.
For inconsistencies, I’ve found that creating a schema or data model upfront helps a ton. Tools like Apache NiFi or Talend are great for ETL processes if you’re dealing with a lot of semi structured data.
Also, check out MongoDB if you haven’t already—it’s super flexible for handling JSON-like data.
For inconsistencies, I’ve found that creating a schema or data model upfront helps a ton. Tools like Apache NiFi or Talend are great for ETL processes if you’re dealing with a lot of semi structured data.
Also, check out MongoDB if you haven’t already—it’s super flexible for handling JSON-like data.