@Databricks Tutorial : Mastering CSV File Reading in Databricks

Welcome to the ultimate guide on harnessing the power of CSV file manipulation in Databricks using PySpark! In this comprehensive tutorial, we dive deep into the world of reading CSV files, Whether you're a beginner eager to learn or an experienced data enthusiast seeking a thorough understanding, this tutorial is tailored for you.

We'll walk you through every aspect of CSV file handling in Databricks, exploring various techniques and options available while reading csv . From the basics of loading CSV files to advanced functionalities this tutorial covers it all. No matter the complexity of your CSV data or your level of expertise, we've got you covered.

Agenda of this Session
1-Concepts of CSV
2-How to Read CSV in Databricks (2 methods)
3-Multiple options which we can use while reading CSV ( header,inferSchema,delimiter,multiline)

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❤ Love the simple explanation and straightforward approach. Also would love to see different CSV read and write options which can be used for null check and datetime formats