How to Handle Header and Footer in Databricks Notebook? | Azure Databricks Tutorial | MindMajix – YouTube

🔥 Join hands-on Azure Databricks Certiifcation Course: https://mindmajix.com/azure-databricks-training?utm_source=youtube&utm_medium=video&utm_campaign=promotion

In this Azure Databricks tutorial, you’ll learn how to handle headers and footers when working with data files in Databricks notebooks. Whether you’re dealing with CSVs, Excel files, or other structured data, this video will show you how to read files with or without headers, and how to skip footer rows using PySpark or the Databricks interface.

#Databricks #PySpark #HeaderAndFooterInDatabricks #Azure #AzureDatabricksCourse #DatabricksTutorial #AzureDatabricksTutorial #DataEngineering #DatabricksForBeginners #tutorial #Mindmajix

🔥 Following are the topics we covered in this headers and footers in Databricks video:
✔ How to read files with header rows in Databricks
✔ How to skip footer rows when reading data
✔ Using PySpark options like header, inferSchema, and footer.

✅ About MindMajix’s Azure Databricks Training:
Azure Databricks certification training by MindMajix helps you utilize the Apache Spark and powerful clusters deployed on the Azure Databricks platform for running the massive data engineering workloads in the cloud. In this course, you will learn to develop the data lakehouse with the Azure data bricks and understand the capabilities of Azure Databricks. Our industry scenarios and real-world projects will help you practice the skills acquired in this Azure Databricks training and clear the Microsoft Certified: “DP-203: Data Engineering on Azure.”

🔑 Key Features
👉 Learn from Industry Experts.
👉 Gain Job-ready Skills.
👉 24/7 Support.
👉 Dedicated Learning Mentors.
👉 Guaranteed Job Interviews.
👉 Real-life Projects.
👉 Get Certified.

📌 Subscribe to our channel to get video updates. Click on the link to subscribe: https://www.youtube.com/channel/UCkKemMaRnFPlNLHZ0zOYfpA

source