Robust Data Pipelines with Apache Spark, DBT and Azure | End-to-End Data Engineering Project

As decided by the community, here is a teaser for the Apache Spark, Databricks, DBT and Cloud Provider project.

Timestamp:
0:00 Introduction
0:49 System Architecture
3:01 Creating resource groups on Azure
5:02 Setting up the medallion architecture storage account
8:46 Setting up Azure Data Factory
10:18 Azure Key Vault setup for secrets
14:19 Azure database with automatic data population
25:32 Azure Data Factory pipeline orchestration
47:00 Setting up Databricks
49:50 Azure Databricks Secret Scope and Key Vault
54:33 Verifying Databricks - Key Vault - Secret Scope Integration
1:06:00 Azure Data Factory - Databricks Integration
1:21:19 DBT Setup
1:24:15 DBT Configuration with Azure Databricks
1:32:12 DBT Snapshots with Azure Databricks and ADLS Gen2
1:45:06 DBT Datamarts with Azure Databricks and ADLS Gen2
1:55:00 DBT Documentation
1:58:58 Outro

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Tags:
Big Data, Data Engineering, Apache Spark, Databricks, DBT, Azure, Cloud Computing, Data Analytics, ETL, Data Warehouse, Technology, Analytics, Machine Learning, Data Science

Hashtags:
#BigData, #DataEngineering, #ApacheSpark, #Databricks, #DBT, #Azure, #CloudComputing, #DataAnalytics, #ETL, #DataWarehouse, #TechTalk, #MachineLearning, #DataScience, #BigDataAnalytics

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