Azure End-To-End Data Engineering Project (Job Ready) | Azure Data Engineering Bootcamp

Azure End-To-End Data Engineering Project | Azure Databricks | | Azure Data Factory | Pyspark Tutorial 🔍 What You'll Learn: In this extensive 7-hours tutorial, you'll embark on an end-to-end Data Engineering project utilizing cutting-edge technologies like Azure Data Factory, Databricks, and PySpark. You'll explore the Unity Catalog for data governance, work with Delta Lake and Delta Tables for efficient data storage and processing, and implement the Medallion architecture to structure your data pipeline effectively. Throughout the video, you'll encounter real-world scenarios such as Dimensional Data Modeling in Azure Databricks and Slowly Changing Dimensions in Databricks, along with common interview questions to help you prepare for your next job opportunity in the field of data engineering. Data Source Link : https://github.com/anshlambagit/Azure-DE-Project-Resources/tree/main/Raw%20Data Databricks Tutorial : https://youtu.be/P5pEeR3xQpI?si=XbQYrYkrVp2jKjfE PySpark Full Course : https://youtu.be/94w6hPk7nkM?si=Y2EUnifXrZRK3MOj Azure Data Factory Full Course : https://youtu.be/8zIVOdKyoDA?si=XMgP7hLda_neTHWw Timestamps: 0:00 Introduction 03:03 Data Architecture (Medallion Architecture) 09:09 Data Ingestion Pipeline Design 14:23 Azure Project Overview 23:38 Data Understanding (API) 29:38 Azure Free Account 32:50 Azure Overview 37:12 Azure Data Lake 41:57 Creating Azure Resources 51:14 Azure SQL Server 57:36 Azure Data Factory Tutorial 1:03:19 Data Ingestion in Azure 1:14:10 Dynamic ETL Pipelines in Azure Data Factory 1:32:53 Incremental loading in Azure Data Factory 1:49:51 Azure Data Factory Real Time Scenarios 2:35:04 Azure Databricks Tutorial 2:48:33 Unity Catalog Azure Databricks 3:01:16 Apache Spark Cluster 3:07:57 Access ADLS Gen2 from Databricks 3:33:33 Data Transformation using PySpark 3:44:37 PySpark Tutorial 5:09:31 Slowly Changing Dimensions using Pyspark 5:45:52 Star Schema Data Model (Fact Table) 5:53:35 Surrogate Keys in Data Warehouse 6:04:55 Databricks Workflows 6:35:16 End to End Azure Data Factory Pipeline Connect with ME - https://www.linkedin.com/in/ansh-lamba-793681184/ Please Hit the SUBSCRIBE button❤️to support me and my hard work. ⭐Hashtags⭐ #azure #azuresql #databricks #pyspark #dataengineering #dataengineer #dataanalytics #datascience #azureinterviewquestions