Part-1: Real time end to end Azure Data Engineering Project

Welcome to AnalytixCloud, In this hands-on tutorial, we'll dive into a real-time project on Azure Data Engineering. Whether you're an experienced data engineer looking to expand your skills or a newcomer to Azure, this project will provide you with valuable insights and practical experience.

In this video, we'll cover:

1. Project Overview:
Introduction to the real-time project we'll be building on Azure.

2. Azure Services Used:
Explanation of the Azure services and tools we'll utilize in this project, including Azure Data Factory, Azure Data Lake Storage, Azure Databricks, and PowerBI.

3. Data Ingestion:
Demonstrating how to ingest data in real-time from various sources using Azure Data Factory and set up data pipelines.

4. Data Transformation:
Showing how to clean, transform, and enrich the incoming data streams using Azure Databricks.

5. Data Storage:
Discussing best practices for storing real-time data efficiently using Azure Data Lake Storage and Azure Databricks as delta tables.

6. Visualization:
Creating meaningful visualizations using Power BI to gain insights from the processed data.

7. Deployment & Scaling:
Demonstrating how to deploy and scale your Azure data solution as needed to meet growing demands.

8. Best Practices & Tips:
Sharing best practices, tips, and lessons learned throughout the project.

9. Conclusion:
Summarizing the key takeaways and the importance of Azure Data Engineering in today's data-driven world.

Mob: [phone]

Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest Azure and data engineering tutorials. If you have any questions or need further clarification on any topic covered in this video, please feel free to leave a comment below, and we'll be happy to assist you.

Thank you for watching, and let's dive into the world of Azure Data Engineering together!

[mgdesire]

Very well..Please upload the 2 part we are wetting :)

[sindujaanthannagari]

Nice explanation. In next sessions please provide the dataset which could help us to understand and parallely we can also practice.
Thank you so much for such a good explanation

[vedanthbaliga]

Looks like an interesting use case! When can we expect the next video?

[rajatbadade]

Can you please take another example of banking use case for etl pipeline

[cvlnkuv]

Its just Like a Real time one...post some more..

[arjunvartak]

Hello sir, is there any way we can get all videos of your this project in one or two days if may be available on your website. We are final year students but Non IT Tech background, We have little to no idea about data engineering (but know about Data Analysis a bit). Your project is understandable to me till now without much hesitation. We have to submit our project ASAP. Is there any way to get videos of this project at once or Can you please suggest some similar Playlist considering our background.

[shankar]

This looks like a real project. Waiting for 2nd part. Is there any way to connect with you for training

[sumitgupta]

Interesting video, when can we have complete use case implementation

[Mehtre]

Hello sir can you pls tell FMCG client name i have one fmcg usecase