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Learning by doing is the best way to grasp new technologies

With interactive learning, teams get hands-on experience with cloud platforms and tech like Cisco, Kubernetes, Python, Docker, Java, and more—in safe live Dev environments. 

So they’re more comfortable putting it to work in real-world situations.

 

The only thing that separates you from your competition is knowledge. Do you know how to deploy using Kubernetes? Can you design, build, and maintain a modern infrastructure that’s distributed, intelligent, and predictive? Can you use Python to wrangle gobs of data, and implement AI and ML to generate real insights? Do you hold a certification that proves your proficiency?


O’Reilly is your answer to all of these questions and more. Like we are for 2.8 million business and technology professionals who count on us to help them stay ahead. It’s time for you to learn what they already know. Check out the Features page to see all the ways we help you become indispensable.


 

 

Learn Data Engineering FOR FREE!

Learn Data Engineering FOR FREE! 

 πŸ’₯πŸ’» [ New & Updated] + Bonus Data Engineering Resume Template


Why spend thousands of dollars when you can learn for FREE? πŸ’ΈπŸš«

Yes, you heard that right!

 



I have carefully curated a comprehensive, immersive, and absolutely FREE Data Engineering Course that includes 21 high-quality lessons. πŸš€

It's designed to empower you, enhance your skillset, and make you stand head and shoulders above the rest.

You'll be ready to ace those interviews and fast-track your career!

Here's what's on the menu: πŸ‘‡

🐍 Python, πŸ“Š SQL, πŸ› ️ MySQL, 🌳 MongoDB, πŸ”₯ PySpark, 🎈 Bash, 🌬️ Airflow, ☕ Kafka, πŸ™ Git, 🐈 GitHub, ⚙️ CICD basics, 🏬 Data Warehousing, πŸ› ️ DBT, 🌊 Data Lakes, πŸ“˜ DataBricks, ☁️ Azure Databricks, ❄️ Snowflake, πŸŒͺ️ Apache NiFi, and 🌐 Debezium.


 1. Master Python: https://lnkd.in/e5rCbvP8
    
 2. Learn SQL: https://lnkd.in/efMKFkfX
    
 3. Get hands-on with MySQL: https://lnkd.in/efk-Mi3c
    
 4. Dive into MongoDB: https://lnkd.in/eMKPWtqX
    
 5. Master PySpark: https://lnkd.in/exwA2hKz
    
 6. Discover Bash, Airflow & Kafka: https://lnkd.in/eyN6u2yd
    
 7. Master Git & GitHub: https://lnkd.in/eX_Q8s99
    
 8. Understand CICD basics: https://lnkd.in/epKGivFY
    
 9. Decode Data Warehousing: https://lnkd.in/eKnVbFAB
    
10. Learn DBT: https://lnkd.in/eG9eaEuE
    
11. Understand Data Lakes: https://lnkd.in/eQ9xxAJT
    
12. Explore DataBricks: https://lnkd.in/ePZpCv86
    
13. Learn Azure Databricks: https://lnkd.in/eBij4akJ
    
14. Master Snowflake: https://lnkd.in/erETmtFU
    
15. Explore Apache NiFi: http://bit.ly/43btwYy
    
16. Learn Debezium: http://bit.ly/3K6W5gL
    

But that's not all! Level up your game with 5 Must-Try Projects:

1. Reddit ETL Pipeline: https://lnkd.in/ekmgzGc8
   
2. Surfline Dashboard: https://lnkd.in/e6AdaDzz
   
3. Finnhub Streaming Data Pipeline: https://lnkd.in/eCF5kZvE
   
4. Audiophile End-To-End ELT Pipeline: https://lnkd.in/ercYzXtX
   
5. Streamify: https://lnkd.in/ePiEwH5k
   
With this powerhouse of skills, you're all set to:
🌟 Create a stellar resume,
🌟 Showcase your projects on Git, and
🌟 Apply to data engineering positions with confidence!

Embark on your data engineering journey today and unlock a world of opportunities! πŸ—️🌐

 
Source : https://www.linkedin.com/in/brijpandeyji/

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