IPL Data Analysis | Apache Spark End-To-End Data Engineering Project

Enroll in the Apache Spark Course Here - https://bit.ly/3XnUCdP USE CODE: EARLYSPARK for 50% off Check Out My Data Engineering Bootcamp: https://bit.ly/3yXsrcy USE CODE: COMBO50 for a 50% discount In this video, we are going to analyze IPL data by building a data pipeline, main focus of this video is to focus on writing Apache Spark code and different functions to perform transformation, Code used in the video: https://github.com/darshilparmar/ipl-data-analysis-apache-spark-project Dataset Link - https://data.world/raghu543/ipl-data-till-2017 Timestamps 0:00 Introduction 0:31 Architecture Diagram and Spark Basic Concepts 13:26 Understand the Dataset 21:07 Complete Project Execution 01:18:32 Final Words 👦🏻 My Linkedin - https://www.linkedin.com/in/darshil-parmar/ 📷 Instagram - https://www.instagram.com/datawithdarshil 🎯Twitter - https://twitter.com/parmardarshil07 🌟 Please leave a LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟 3 Books You Should Read 📈Principles: Life and Work: https://amzn.to/3HQJDyP 👀Deep Work: https://amzn.to/3IParkk 💼Rework: https://amzn.to/3HW981O Tech I use every day 💻MacBook Pro M1: https://amzn.to/3CiFVwC 📺LG 22 Inch Monitor: https://amzn.to/3zk0Dts 🎥Sony ZV1: https://amzn.to/3hRpSMJ 🎙Maono AU-A04: https://amzn.to/3Bnu53n ⽴Tripod Stand: https://amzn.to/3tA7hu7 🔅Osaka Ring Light and Stand: https://amzn.to/3MtLAEG 🎧Sony WH-1000XM4 Headphone: https://amzn.to/3sM4sXS 🖱Zebronics Zeb-War Keyboard and Mouse: https://amzn.to/3zeF1yq 💺CELLBELL C104 Office Chair: https://amzn.to/3IRpiL2 👉Data Engineering Complete Roadmap: https://www.youtube.com/playlist?list=PLBJe2dFI4sgtlK_zaqaIBdJFgieYPnQ07 👉Data Engineering Project Series: https://www.youtube.com/playlist?list=PLBJe2dFI4sgukOW6O0B-OVyX9c6fQKJ2N 👉Become Full-Time Freelancer: https://www.youtube.com/playlist?list=PLBJe2dFI4sgtza0sAnNFwo8KPG0GcO9Il 👉Data With Darshil Podcast: https://www.youtube.com/playlist?list=PLBJe2dFI4sgv_XmEDaXF3z1MNib7R3KUY ✨ Tags ✨ ✨ Hashtags ✨ #dataengineering #apachespark #databricks