Скачать или смотреть Data Engineer's Biggest Nightmare: Solving Merge Conflicts Step-by-Step Guide with Demo

#AzureDevOps #Git #DataEngineering #InterviewQuestions #DevOpsTutorial #AzureDatabricks #GitRevert #BranchRecovery #CodingBestPractices #TechInterviewTips #MergeConflicts

🔍 What We'll Cover:

In this video, we dive into a crucial topic for every Data Engineer: Merge Conflicts. Merge conflicts are one of the most common issues encountered when working collaboratively with Git repositories. Understanding and resolving merge conflicts is essential for smooth teamwork and efficient project management.

Detailed Steps:

Creating feature branches.
Making changes to notebooks.
Handling merge conflicts in Databricks workspace.
Installing and using an extension in Azure DevOps to resolve merge conflicts.

TimeStamp:

0:00:00 - Intro
0:00:32 - What is Merge Conflicts?
0:03:35 - Resolving Merge Conflicts using Databricks Workspace
0:15:48 - Resolving Merge Conflicts using Azure DevOps

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– – – Other useful playlist: – – –

1. Microsoft Fabric Playlist:    • Microsoft Fabric Tutorials  
2. Azure General Topics Playlist:    • Azure Beginner Tutorials  
3. Azure Data Factory Playlist:    • Azure Data Factory Tutorials  
4. Databricks CICD Playlist:    • CI/CD (Continuous Integration and Continuo...  
5. Azure Databricks Playlist:    • Azure Databricks Tutorials for Beginners  
6. Azure End to End Project Playlist:    • End to End Azure Data Engineering Real Tim...  
7. End to End Azure Data Engineering Project:    • An End to End Azure Data Engineering Real ...  

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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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