enterprise-data-parsing

name	enterprise-data-parsing
description	Strategies for reading and indexing diverse enterprise data formats located in a flat directory or specific path.

When retrieving information from enterprise data (like /root/DATA), first identify the file structure. Enterprise data often consists of mixed formats (PDF, CSV, JSON, TXT, or Markdown).

1. Inventory: List all files in the directory to determine the scope.

   import os
   data_path = "/root/DATA"
   files = os.listdir(data_path)
   

2. Reading Techniques:
   • Text/Markdown: Use standard open().read().
   • JSON: Use json.load().
   • CSV: Use pandas.read_csv() for structured queries.
3. Indexing: If the dataset is large, create a simple keyword index or use a search function to map keywords from the questions to specific filenames to narrow the search space.