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

657: How to Learn Data Engineering 01:09:33 Share

Super Data Science: ML & AI Podcast with Jon Krohn

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657: How to Learn Data Engineering