Azure Data Factory Interview Question and Answer || Azure Data Factory Tutorial || Real Time Project
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- Опубліковано 20 сер 2024
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In this video, we'll be discussing how to prepare for an interview related to Azure Data Factory. Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines. It's an important tool for any organization that needs to move data from one source to another.
Whether you're a beginner or an experienced professional, preparing for an interview can be daunting. That's why we've put together this video to help you get ready for your next Azure Data Factory interview.
In this video, we'll cover the following topics:
The basics of Azure Data Factory
Related technologies that work with Azure Data Factory
Discussing your experience using Azure Data Factory
Understanding SQL and data transformations
Hands-on practice with Azure Data Factory
Staying up to date with industry trends
By the end of this video, you'll have a better understanding of what to expect during an Azure Data Factory interview and how to best prepare for it.
Don't forget to like and subscribe to our channel for more informative videos on Azure Data Factory and other related technologies.
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Very Helful with clear examples sir.
Thanks for watching download our app eclasess.com/eclasess-app.html
Nice video bro helpful if possible please provide on Data bricks and pyspark
Will upload soon
More updates download app
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Sir, where will be the role of databricks & pyspark here
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I want to learn please can have call to discuss
Plz call 7997457228
Will you provide support for candidates?
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Can i get that notes is possible?? :)
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
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Can you please provide project based and real time scenario
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If you’re only using Data Factory V2, why are you bothering to spend time talking about V1?
In interview they will ask about difference.