Complete PySpark Tutorial | Learn PySpark from Basics to Advanced Step-by-Step 🚀

🔥 Welcome to the Complete PySpark Tutorial with Databricks! This all-in-one guide is perfect for anyone looking to master PySpark for big data processing and analytics. Whether you're a beginner or advancing your skills, this tutorial has you covered. 📘 What you’ll learn: ✔️ Introduction to PySpark and Big Data ✔️ Setting up Databricks for PySpark projects ✔️ Creating and managing DataFrames ✔️ PySpark Transformations and Actions ✔️ Working with PySpark SQL and Spark SQL ✔️ Data Aggregation, Joins, and Filtering ✔️ Handling Big Data: Partitioning and Caching ✔️ Real-world Use Cases and Hands-on Projects 💡 Perfect for data engineers, analysts, and developers looking to leverage Apache Spark for distributed data processing. 👉 Don’t forget to LIKE, SUBSCRIBE, and SHARE for more tutorials on big data, PySpark, and Databricks! #PySparkTutorial #Databricks #BigData #LearnPySpark #ApacheSpark #DataEngineering #ETL #SparkSQL #DataProcessing" Want more similar videos- hit like, comment, share and subscribe ❤️Do Like, Share and Comment ❤️ ❤️ Like Aim 5000 likes! ❤️ ➖➖➖➖➖➖➖➖➖➖➖➖➖ Chapters: 0:00 introduction 2:18 what is pyspark 10:45 spark architecture 20:23 rdd in pyspark 28:25 dag and lazy evaluation 32:51 databricks setup 35:34 databricks overview 45:39 dataframe pyspark using csv 57:28 dataframe pyspark using json 1:01:43 select function in pyspark 1:08:06 withColumn function in pyspark 1:17:34 filter function in pyspark 1:25:36 drop function in pyspark 1:30:41 sort function using pyspark 1:34:16 group by in pyspark 1:38:50 joining in pyspark 1:52:23 union and union all 1:59:24 fill and fillna in pysaprk 2:04:51 collect in pyspark 2:05:42 structType in pyspark 2:14:43 pivot and unpivot in pyspark 2:27:06 udf in pyspark 2:35:13 dataframe transformation using pyspark 2:39:00 views in pyspark 2:47:25 windows function in pyspark 2:57:41 date format in pyspark 3:11:04 partitionBy in pyspark 3:15:28 explode in pyspark 3:20:53 cache vs persist in pyspark 3:32:08 pyspark interview question and answer-1 3:39:18 pyspark interview question and answer-2 3:51:00 pyspark interview question and answer-3 4:01:55 pyspark interview question and answer-4 4:09:03 pyspark interview question and answer-5 4:20:00 pyspark interview question and answer-6 4:30:37 pyspark interview question and answer-7 4:36:44 pyspark interview question and answer-8 4:43:49 pyspark project -1 5:10:12 pyspark project -2 ➖➖➖➖➖➖➖➖➖➖➖➖➖ script https://drive.google.com/drive/u/0/folders/14ga0ioQbcsPQV3mrPK7GeHNKYMsd7wtr https://drive.google.com/drive/folders/19HQUn_LBimFFlukVfIUnorLxz5zOMNAq?usp=drive_link ➖➖➖➖➖➖➖➖➖➖➖➖➖ AWS DATA ENGINEER : https://www.youtube.com/playlist?list=PLOlK8ytA0MghpdMjb0m9zu1v9s_qbRP0q Azure data factory : https://youtube.com/playlist?list=PLOlK8ytA0MgguN5XidtQXbILxwCdJCUJE&si=iEICXHP80zGchUYh Azure data engineer playlist : https://youtube.com/playlist?list=PLOlK8ytA0MghBrzu0i6WlTBdoO1WdwV_e SQL PLAYLIST : https://www.youtube.com/playlist?list=PLOlK8ytA0MggGXIKmbfZ-_Xqcos3JKdV- PYSPARK PLAYLIST - https://www.youtube.com/playlist?list=PLOlK8ytA0MgjvOpd-088NRU_vTYw_aryH ➖➖➖➖➖➖➖➖➖➖➖➖➖ 📣Want to connect with me? Check out these links:📣 Join telegram to discuss https://t.me/+Cb98j1_fnZs3OTA Hope you liked this video and learned something new :) See you in next video, until then Bye-Bye! ➖➖➖➖➖➖➖➖➖➖➖➖➖