PySpark Optimization Full Course 2025 [Step-By-Step Guide]

PySpark | Databricks | Apache Spark | Big Data Engineering In this video, you'll learn PySpark optimization techniques from the ground up — covering everything from PySpark Tutorial, Driver OOM issues, Salting, Adaptive Query Execution, Caching and Persistence, Spark SQL Hints, Broadcast Joins and Variables, to Databricks Delta Lake and more! Timestamps: 0:00 Introduction 8:52 Databricks Free Account 12:29 Databricks Overview 17:18 Spark Cluster and Spark Session 26:55 Scanning Optimization using PySpark Partitioning 52:42 Joins Optimization in Spark using Broadcast Joins 1:04:47 Sort Merge Join vs Broadcast Join in PySpark 1:17:57 Spark SQL Hints 1:19:48 Caching and Persistence in PySpark 1:38:11 Spark Dynamic Resource Allocation 1:45:12 AQE - Adaptive Query Execution 2:05:45 Dynamic Partition Pruning in Apache Spark 2:26:35 Broadcast Variables 2:32:23 Salting in PySpark 2:51:34 Delta Lake Optimization using PySpark WATCH MY PREVIOUS VIDEOS ➡️Azure End To End Data Project https://youtu.be/uc-u_juRg-w?si=sO_CavjnhNaSnZri ➡️Databricks Tutorial https://youtu.be/7pee6_Sq3VY?si=pPBrTnE2R8PhhHu5 ➡️PySpark Full Course https://youtu.be/94w6hPk7nkM?si=i3u_8ZWkGf6fiGyh REPOSITORY ➡️GitHub https://github.com/anshlambagit/SparkOptimization ======================================= Join this channel to SUPPORT MY HARDWORK: https://www.youtube.com/channel/UCu7lQE-L5gzt8aD7zuuufjw/join ======================================= Connect with ME LinkedIn - https://www.linkedin.com/in/ansh-lamba-793681184/ Telegram - https://t.me/anshlambadatafam ========================= For COLLABORATION 👇 [email protected] ========================= ⭐Hashtags⭐ #pyspark #apachespark #dataengineering #databricks #bigdata