Spark Interview Question Part 1

Spark Coding Interview Questions Part 1 | Data Engineering Hub

🚀 Welcome to Data Engineering Hub! 🚀

In this first part of our Spark Coding Interview Questions series, we dive deep into the core coding challenges you might face in a Spark interview. This video is packed with hands-on coding examples, solutions, and expert tips to help you master Apache Spark and stand out in your data engineering interviews.

In this video, you’ll learn:
1. Filtering Data
2. Grouping and Aggregation
3. Joining Data Frames
4. Handling Missing Data
5. Sorting Data
6. Pivoting Data
7. Window Functions
8. String Manipulation

Get ready to boost your Spark programming skills and ace your interviews with practical coding exercises and detailed explanations. Don’t forget to like, comment, share, and subscribe for more tutorials and interview prep tips!

🔔 Stay tuned for Part 2! 🔔

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🔗 Explore the notebook used in this video here: https://github.com/Mohansaik/Data-Eng...