Small Files Problem in Apache Spark | Causes, Impact & Solutions

Small files problem is one of the most common performance killers in Apache Spark and big data systems. In this video, I explain: • What is the small files problem in Spark • Why Spark performs poorly with too many small files • How small files affect executors, metadata, and job performance • Real-world impact in production data pipelines • Common strategies to handle the small files problem This issue appears frequently in S3, HDFS, and cloud-based data lakes, especially when working with Spark, Hive, and Delta Lake. If you are a data engineer, big data developer, or preparing for Spark interviews, this is a must-know concept. 📌 Topics covered: Apache Spark Small files problem Spark performance tuning Big data optimization Data engineering concepts Subscribe to Big Data Factory for real-world data engineering explanations. #apachespark #dataengineering #programming #bigdata #interview #small