What are the best resources for learning data engineering?
There are several great resources for learning data engineering, including online courses, books, and blogs. Would you like recommendations for specific types?
Yes, can you suggest some online courses?
Sure! Some popular online courses include 'Data Engineering on Google Cloud' on Coursera, 'Data Engineering with AWS' on Udacity, and 'Data Engineering for Everyone' on DataCamp.
What about books? Any good ones?
Absolutely! I recommend 'Designing Data-Intensive Applications' by Martin Kleppmann, 'The Data Warehouse Toolkit' by Ralph Kimball, and 'Streaming Systems' by Tyler Akidau.
Are there any blogs or websites I should follow?
Yes! You should check out blogs like 'Towards Data Science', 'Data Engineering Weekly', and the 'AWS Big Data Blog' for the latest trends and insights.
Get this answer and more from ChatGPT in Telegram, try it for free!
Get Started For FreePowered by advanced language models trained on billions of online words and conversations, MagicBuddy delivers friendly and helpful chat on demand.
Ask questions and get answers. Crack jokes and get laughs. Or even get writing ideas and study help. MagicBuddy's conversational intelligence allows for a truly unique and useful chat experience.
Curious? Try these prompts:
MagicBuddy is incredibly easy to use and the responses are lightning fast! 🥇
Impressive! MagicBuddy is my go-to AI assistant. It’s quick, accurate, and user-friendly.
Sending voice messages makes it easier to use in the middle of the day and the answers are super fast.
Love it! A friend of mine told me about it and it has made my life so much easier. It’s like having a helpful friend in my pocket!
I use 2 months already, simply amazing! MagicBuddy delivers answers in a snap. It’s a must-have tool for staying informed!
Game-changer! MagicBuddy’s speed and accuracy are unmatched. It’s my secret weapon for productivity
Say Hello to Your New Telegram BFF - Try MagicBuddy Free!
Get Started For Free