How to READ CSV file using PySpark in Corporate level 2024 | DataFicial Hindi
Mastering PySpark : Top 7 ways to READ CSV File
In this video, we dive into the world of CSV file handling using PySpark, a powerful tool for big data processing. We'll explore the various options available for reading CSV files, including handling headers, inferring schemas, manual schema specification, and dealing with delimiters. Learn how to tackle real-world scenarios, such as multi-delimiter files and corrupt records, with ease. By the end, you'll have a comprehensive understanding of CSV file handling in PySpark, empowering you to confidently tackle data-intensive tasks in your corporate endeavors.
Timestamps👇
00:00 - Intro
00:55 - Header
01:52 - Infer Schema
02:56 - Manual schema
04:31 - Multiline
05:23 - Delimiter
06:09 - Handling corrupt record
07:38 - Metadata
08:46 - Interview Questions
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