Azure Databricks End-To-End Data Engineering Project | PySpark Tutorial | Big Data

🔍 What You'll Learn:
In this detailed 6+ hour tutorial, you’ll work on a complete Data Engineering project using powerful tools like Azure Databricks, Delta Live Tables, Spark Streaming, and PySpark. You’ll explore real-world use cases such as Dimensional Data Modeling and handling Slowly Changing Dimensions in Databricks. Plus, we’ve included common interview questions to help you get ready for your next data engineering role.


Timestamps:
0:00 Introduction
01:45 Data Architecture
13:00 Data Understanding
20:17 Azure Free Account
23:29 Azure Overview
28:59 Creating Azure Resources
43:06 Databricks Overview
59:11 Databricks Unity Catalog
1:20:50 Data Ingestion in Databricks
1:28:46 Databricks Autoloader
1:41:58 Spark Structured Streaming
2:06:12 Databricks ETL Jobs
2:20:17 PySpark Functions
2:34:06 Python OOP with PySpark
3:00:00 PySpark Advanced Functions
3:24:33 Slowly Changing Dimension using PySpark
4:48:02 Databricks Delta Live Tables
5:37:27 Star Schema using PySpark
5:54:44 Databricks End-To-End Pipeline


WATCH MY PREVIOUS VIDEOS
➡️Azure End To End Data Project
   • The ONLY Azure End-To-End Data Engineering...  
➡️Databricks Tutorial
   • Databricks Tutorial (From Zero to Hero) | ...  
➡️PySpark Full Course
   • PySpark Tutorial | Full Course (From Zero ...  

REPOSITORY
➡️GitHub
github.com/anshlambagit/Databricks-EndToEnd-Projec…


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⭐Hashtags⭐
#azure #bigdata #databricks #databricks