657: How to Learn Data Engineering - Super Data Science: ...

What this episode covers

Data engineering educator Andreas Kretz joins Jon Krohn for a 1-hour primer that covers everything you need to know about the most in-demand role in data. From skills to tools, problem-solving processes and more, growing your knowledge of data engineering only improves your marketability, so tune in today if you're ready to future-proof your data career. This episode is brought to you by Glean (glean.io), the platform for data insights fast, and by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Why learn data engineering? [06:55]• What is data engineering? [08:08]• What sets Senior Data Engineers apart from junior ones? [13:57]• The must-know data-engineering tools [20:26]• The right path to learn data engineering [44:24]• Are certifications worth it? [51:46]• The future of data engineering [55:24]• Andreas's career challenges [58:48]Additional materials: www.superdatascience.com/657

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Frequently Asked Questions

How long is this episode of Super Data Science: ML & AI Podcast with Jon Krohn?

This episode is 1 hour and 9 minutes long.

When was this Super Data Science: ML & AI Podcast with Jon Krohn episode published?

This episode was published on February 28, 2023.

What is this episode about?

Data engineering educator Andreas Kretz joins Jon Krohn for a 1-hour primer that covers everything you need to know about the most in-demand role in data. From skills to tools, problem-solving processes and more, growing your knowledge of data...

Can I download this Super Data Science: ML & AI Podcast with Jon Krohn episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.