🏆 2023 DATA ENGINEERING ROADMAP

Data Engineering Roadmap - beautifully designed roadmap to outline the main tools and concepts needed to become Data Engineer.

I know myself that starting (or even progressing, ha-hah!) in Data Engineering could be cumbersome:

• Which tools should I study?
• When should I learn cloud technologies?
• Should I prioritize mastering SQL or Python?
• Is it better to learn Kafka or Airflow first?
• Among numerous Python courses, which one is for a Data Engineer?
• Where can I practice advanced SQL topics?
• Do I need to learn Java or immediately dive into Databricks or Hadoop?
• Should I familiarize myself with Data Science concepts and linear regression?
• What pet projects should I work on?
• And many more.

WHAT'S COVERED IN THE ROADMAP:

✅ 85+ tools/concepts included

✅ Guidance on which tools/concepts to focus on

✅ 7 Pet project examples included - YES! Finally, you will have examples with step-by-step implementation. I've been literally collecting those bit by bit.

✅ Each resource is carefully picked, because I see which information is actually valuable and brings you value as a specialist + explains/teaches in the most efficient way

✅ Roadmap is beautifully designed and outlines the path by the sectors, like Data Fundamentals, Programming Languages, Storage, Data Warehouses, etc. Each sector has a set of tools/concepts included

✅ All points are links to the resources - so you can easily start learning the topic you want! The roadmap = Personal study plan

✅ It's interactive, so If I find something cool, will definitely update it with new links and sources. No more old-school pdf's.

⭐️️️️⭐️⭐️⭐️⭐️ Y️️️OUR FEEDBACK