azure data engineer project | azure data engineer project end to end

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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. SQL server migration
2. Azure Data Factory
3. Azure Data Lake Storage Gen2
4. Azure Databricks
5. PYSPARK
6. SPARK SQL
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 finally using Microsoft Power BI to integrate with Azure synapse analytics to build an interactive dashboard.

In this video we are going to do one complete end to end azure data engineer project and we will see how in real time as azure data engineer.
we have covered complete azure data engineering project using sql server, azure data factory , databricks , spark sql and using power BI

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Chapters:

0:00 azure data engineer Project Introduction
2:50 OnPrem SQL setup
4:36 azure blob storage
6:35 azure data factory creation
7:38 azure data factory pipeline
8:44 Integration run time
14:47 Databricks
20:59 PySpark & Spark SQL
30:12 Power BI

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dataset - https://drive.google.com/file/d/1i4aR...
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AWS DATA ENGINEER :    • AWS Data Engineer Basic  

Azure data engineer playlist :    • Azure Data Engineer  

SQL PLAYLIST :    • SQL playlist  

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📣Want to connect with me? Check out these links:📣

Join telegram to discuss https://t.me/+Cb98j1_fnZs3OTA1

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what we have covered in this video:

Complete end to end azure data engineer project

- DATA Migration from on prem SQL to Azure Cloud
- How to create azure storage account
- how to create azure data factory
- how to setup integration run time
- how to create azure data factory pipeline
- how to mount cloud to Databricks
- Databricks
- Pyspark for data cleaning
- Spark SQL for analysis
- POWER BI for visualization
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Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye!

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