Top 10 Apache Spark interview Questions & Answers | Explained with Diagrams | Data Engineering

Top 10 Apache Spark interview Questions & Answers | Explained with Diagrams | Data Engineering Prepared for a Spark or Data Engineering interview ? In this video, I cover 10 commonly asked Apache Spark questions with clear explanations and diagrams to help you understand the concepts rather than just memorize answers. Topics/Issues covered : 1. Excessive Shuffling✅ 2. Skewed data✅ 3. Slow joins✅ 4. Small File Problem✅ 5. Cache Misuse✅ 6. Driver OOM ✅ 7. Executor OOM✅ 8. Poor File Format choice✅ 9. Wrong Partition Strategy✅ 10. Too Many Wide Partitions✅ 🕛 Chapters : 00:00 Introduction 00:25 Real Project production Issue 01:58 Excessive Shuffling 02:47 Skewed data 03:42 Slow joins 05:47 Small File Problem 07:06 Driver OOM 08:11 Executor OOM 09:53 Cache Misuse 11:28 Poor File Format choice 13:00 Wrong Partition Strategy 13:59 Too Many Wide Partitions 16:23 Production Issue debugging strategy 17:00 Summary Whether you're a Data Engineer, Big Data Developer, or preparing for Spark Interviews, this video will help you Strengthen your fundamentals. If you found this helpful, Please Like, Share, and Subscribe for more Spark , Databricks, SQL, and Data Engineering content. For any query: ----------------------- Instagram : https://instagram.com/learn_tech_with... LinkedIn :   / priya-saha-7394a0156   Email : [email protected] You can directly browse my videos with @learnTechWithPriya Business Query : [email protected] #apachespark #sparkinterviewquestions #dataengineering #bigdatat #pysparktutorial #pyspark #databricks #techinterview #techinterviewtips #sparksql