Working with Excel in databricks!!

📊 Excel Support in Databricks – What Works, What Doesn’t, and Best Practices

Can you really use Excel files in Databricks?
Yes — but only if you understand the limitations.

In this video, I explain how Excel works in Databricks, including Serverless compute and the Databricks Free Edition, and why Excel does not scale like CSV or Delta in distributed Spark environments.

If you’re a Data Engineer, Analyst, or someone moving from Excel to Databricks, this video will help you avoid common mistakes and follow production-ready best practices.

🎯 What You’ll Learn in This Video

✔️ How Databricks supports Excel files
✔️ Uploading and reading Excel in Databricks
✔️ Excel behavior on Serverless and Free Edition
✔️ Why Excel runs mostly on a single node
✔️ Excel vs CSV in distributed Spark processing
✔️ Best practices for production pipelines
✔️ When to convert Excel to CSV or Delta Lake

🧠 Key Takeaway

Excel works in Databricks —
but it is not a distributed file format.

For scalable pipelines:
👉 Use Excel only as an input
👉 Convert it early to CSV or Delta
👉 Let Spark process data across multiple nodes

Excel for humans. Delta for data engineering.

👨‍💻 Who Should Watch This?

Aspiring & Senior Data Engineers

Azure Databricks learners

Professionals working with Excel-heavy business teams

Anyone preparing for Databricks or Spark interviews

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🔗 Useful Links

🔹 LinkedIn:   / sachinsaini-598b9b184  

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🏷️ Hashtags

#databricks #excel #dataengineering #pyspark #sql