Part 3- Data Ingestion (1) | End to End Azure Data Engineering Project 

#azuredataengineer #endtoendproject #azuredataengineeringproject #azureintamil #azuredatafactory #azuredatabricks #azuresynapseanalytics #azuredatalake #datalake #powerbi #keyvault
This is a long awaited video of mine- Lets build a complete End to End Azure Data Engineering Project. In this project we are going to create an end to end data platform right from Data Ingestion, Data Transformation, Data Loading and Reporting.
The tools that are covered in this project are,
1. Azure Data Factory
2. Azure Data Lake Storage Gen2
3. Azure Databricks
4. Azure Synapse Analytics
5. Azure Key vault
6. Azure Active Directory (AAD) and
7. Microsoft Power BI
The use case for this project is building an end to end solution by ingesting the tables from on-premise SQL Server database using Azure Data Factory and then store the data in Azure Data Lake. Then Azure databricks is used to transform the RAW data to the most cleanest form of data and then we are using Azure Synapse Analytics to load the clean data and finally using Microsoft Power BI to integrate with Azure synapse analytics to build an interactive dashboard. Also, we are using Azure Active Directory (AAD) and Azure Key Vault for the monitoring and governance purpose.
Part 4 will be uploaded soon. Stay tuned.
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- - - Other useful playlist: - - -
Azure Data Factory Playlist: • Azure Data Factory Tut...
Azure General Topics Playlist: • Azure Beginner Tutorials
Microsoft Fabric Playlist: • Microsoft Fabric Tutor...
Azure Databricks Playlist: • Azure Databricks Tutor...
Azure End to End Project Playlist: • End to End Azure Data ...
Databricks CICD Playlist: • CI/CD (Continuous Inte...
End to End Azure Data Engineering Project: • An End to End Azure Da...
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Email: mrktalkstech@gmail.com
Instagram: mrk_talkstech
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- - - About me: - - -
Mr. K is a passionate teacher created this channel for only one goal "TO HELP PEOPLE LEARN ABOUT THE MODERN DATA PLATFORM SOLUTIONS USING CLOUD TECHNOLOGIES"
I will be creating playlist which covers the below topics (with DEMO)
1. Azure Beginner Tutorials
2. Azure Data Factory
3. Azure Synapse Analytics
4. Azure Databricks
5. Microsoft Power BI
6. Azure Data Lake Gen2
7. Azure DevOps
8. GitHub (and several other topics)
After creating some basic foundational videos, I will be creating some of the videos with the real time scenarios / use case specific to the three common Data Fields,
1. Data Engineer
2. Data Analyst
3. Data Scientist
Can't wait to help people with my videos.
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