Wondering how to become the Data Engineer of the Future? Here’s how. 👇🏻

Data engineers must be flexible with their tech skills and tools mastery to survive in a constantly changing world of data and AI.

It’s very important to learn and experiment on new tech tools and databases than just be comfortable with only one.

This is one of many insights of our guest in our 13th Data & AI Talks podcast, @‌Bas Geerdink, who has been in the tech industry for more than 19 years and is now an expert and speaker in the field of Data & AI.

In this podcast, you will learn more about:

✅ What tools are best in data engineering

✅ How to survive in the market as a Data Engineer

✅ How the market in Data & AI is changing so as the job titles and descriptions

✅ Important skills Data Engineers should develop to stay ahead in the market

Follow us on LinkedIn as @‌spruitai @vincentspruit or send us a message at ⁠⁠[email protected]⁠⁠.

Pro tip 💡

Here are some great suggestions from Bas for you to follow and dig into. 😉

Boeken:
https://www.oreilly.com/library/view/designing-data-intensive-applications/
https://www.manning.com/books/big-data
https://www.packtpub.com/product/the-artificial-intelligence-infrastructure-workshop/
https://lakshmanok.medium.com/machine-learning-design-patterns-58e6ecb013d7

Community:
https://mlops.community/
https://datatalks.club/
https://www.kdnuggets.com/tags/data-engineering en https://www.kdnuggets.com/tag/mlops

Cursussen:
https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops
https://www.coursera.org/specializations/gcp-data-machine-learning
https://www.coursera.org/learn/big-data-introduction

Influencers:
https://twitter.com/geoffreyhinton
https://www.andrewng.org/
https://huyenchip.com/mlops/
https://twitter.com/ylecun
https://twitter.com/sama
https://lexfridman.com/
https://twitter.com/karpathy
https://twitter.com/drfeifei

#podcast #DataandAI #dataengineers #dataengineering #tech #dataandAImarket