Hello,
I am highly experienced in data handling and can efficiently manage the task of splitting your large CSV files into smaller, organized files using Python and its powerful libraries. My approach will ensure accuracy, consistency, and scalability for large datasets like yours.
To begin, I will use Python's pandas library to process and manipulate the data while maintaining the headers in each split file. For handling extremely large files, I will integrate the csv module and use an iterative reading approach to avoid memory issues. For files as large as 50GB, I will optimize performance by leveraging chunks and ensure headers are correctly replicated in each output file.
The process will be methodical: first, I will read and validate the input file, then divide it into chunks of 100,000 rows, and finally write each chunk to a new file. These files will be named sequentially for easy tracking.
My solution will be reliable and tailored to handle multiple large files seamlessly.
Best Regards,
Aneesa