#azuredataengineer #roadmap2024 #azure

Azure Data Engineer Roadmap Complete Guide PDF (Download): [ Ссылка ]

In this Video we are going to see about a complete Roadmap to become a Data Engineer in 2024. Well, 2024 is just a few days away, so if you are someone who is looking to start your career as a Data Engineer or if you are someone who is looking to transition to a Data Engineer role, then this video is for you. This video will be a complete guide from start to finish with every important details for becoming a Data Engineer. So even though you are an absolute beginner, after watching this video, you will have a clear understanding of what needs to be done to become a Data Engineer.

We will be seeing about 6 Stages in this roadmap,

🔍 Stage 1: Python and SQL Mastery 🐍🔍

Lay a robust foundation by mastering Python and SQL, the cornerstone languages of data manipulation and analysis. From data querying to script writing, these skills form the backbone of a Data Engineer's toolkit.

🏰 Stage 2: Data Warehousing Exploration 🛢️

Dive into the world of data warehousing, understanding its significance in structuring and storing vast datasets. Explore key concepts and methodologies to become well-versed in managing and optimizing data storage.

☁️ Stage 3: AZ-900 Certification ☁️

Navigate the cloud with the AZ-900 certification, providing fundamental insights into Azure's cloud services. Gain a solid understanding of cloud concepts, Azure pricing, and core services to seamlessly integrate cloud solutions into your Data Engineering projects.

🛠️ Stage 4: Azure Data Engineering Tools Deep Dive 🧰

Explore the powerhouse of Azure Data Engineering tools, including Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Microsoft Fabric. Uncover their functionalities, use cases, and how they synergize to create robust data solutions.


📚✅ Stage 5: DP-203 Exam Preparation 📚✅

Gear up for the DP-203 exam, focusing on data engineering on Microsoft Azure. Develop the skills needed for efficient data processing, from data storage and transformation to data loading and monitoring.


🌐🏗️ Stage 6: Building Real-Time Projects 🌟

Apply your knowledge in real-world scenarios by undertaking hands-on projects. Bridge the gap between theory and practice, gaining invaluable experience that will set you apart as a proficient Data Engineer.

By the end of this video, even if you're an absolute beginner, you'll possess a clear roadmap and understanding of the essential steps to embark on a successful career as a Data Engineer. Ready to transform your aspirations into achievements? Hit play, subscribe, and let's navigate the exciting landscape of Data Engineering together! 🌟💡

Chapters

TimeStamp:

0:00:00 - Intro
0:02:18 - Stage 1- Python and SQL
0:07:46 - Stage 2- Data warehouse
0:12:34 - Stage 3- AZ-900
0:17:32 - Stage 4- Azure Data Engineering Tools
0:22:46 - Stage 5- DP-203 (Azure Data Engineer Associate)
0:27:00 - Stage 6- Real time Projects
0:30:59 - Outro


– – – Book a Private One on One Meeting with me (1 Hour) – – –

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– – – Express your encouragement by brewing up a cup of support for me – – –

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– – – Other useful playlist: – – –

1. Microsoft Fabric Playlist: [ Ссылка ]
2. Azure General Topics Playlist: [ Ссылка ]
3. Azure Data Factory Playlist: [ Ссылка ]
4. Databricks CICD Playlist: [ Ссылка ]
5. Azure Databricks Playlist: [ Ссылка ]
6. Azure End to End Project Playlist: [ Ссылка ]
7. End to End Azure Data Engineering Project: [ Ссылка ]

– – – Let’s Connect: – – –

Email: mrktalkstech@gmail.com
Instagram: mrk_talkstech


– – – 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.

– – – Support me: – – –

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