Azure Data Engineering Real Time Project || E-Clasess || Series-1

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In this video, we will explore an end-to-end project on Azure Data Engineering RealTime, using various components such as SQL, DWH, Data Factory, Data Lake, and Data Bricks. The video provides a comprehensive explanation of how to build a real-time project using Azure Data Engineering, with a focus on using Data Factory and Data Bricks.
You will learn about the various stages involved in the project, such as data extraction, data transformation, and data loading, and how to perform these tasks using Azure Data Factory. You will also gain insights into how to analyze and process the data using Azure Data Bricks.
The video provides a detailed demonstration of each component and explains how they work together to create a real-time project on Azure Data Engineering. By the end of the video, you will have a solid understanding of how to build a real-time project using Azure Data Engineering and how to use each component to its fullest potential.
Whether you are an experienced data engineer or just starting, this video is a valuable resource that will help you learn and master Azure Data Engineering RealTime projects.
Eclasess
This video presents Microsoft Azure Data Engineering RealTime Project
with below components of SQL, DWH, Data Factory, Data Lake, data Bricks.
End to end project explanation on Azure Data Engineering RealTime Project by using Data Factory and Data Bricks.
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[@SuprajaBijjigiri-o4s]

Hai can you please provide sample data

[@eclasess]

Azure Data Engineer Full Course
Buy Now ! learn.eclasess.com/courses/486798
Duration: 100 Hours
Cost: ₹9999/-
5 Hours Live Interaction with Trainer: Saturdays, 8 am IST
Support: Daily Doubts Clarification via Chat
Topics Covered:
- Azure Data ENgineer Introduction-2 Hours
- Azure Storage Account-3 Hours
- Azure Data Lake Gen2-2 Hours
- Basic MS SQL-10 Hours
- Azure SQL DB-3 Hours
- Data Warehouse Concepts-1 Hour
- Azure Synapse Dedicated SQL Pool-5 Hours
- Azure Data Factory-29 Hours
- Azure Databricks & PySpark-25 Hours
- Azure Key Vaults
- Azure Logic Apps
- Azure Apps
- Azure DevOps CI/CD Pipelines
- Power BI- 5 Hours
Additional:
- Class Notes Provided
- 5 Hours Interview Preparation-5 Hours
- 3 Hours Project Flow- 3 Hours
Let me know if you need anything else!
Call: 7997457228

[@chinna4549]

How we deploy azure data engineering projects into production department??

[@eclasess]

We have to use cicd pipelines in azure devops

[@krishramakrishna9567]

No clArity please some proper presentation 🙏

[@eclasess]

Plz watch this video Azure Data Engineering End to End Project || Real Time Project
th-cam.com/video/9RmUpladucE/w-d-xo.html

[@krishnachaitanyareddy2781]

where is series-2?

[@eclasess]

Please find series-2
th-cam.com/video/Qh1pdYDwXIU/w-d-xo.html

[@krishnachaitanyareddy2781]

@@eclasess thank you