657: How to Learn Data Engineering

<p>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&apos;re ready to future-proof your data career.</p><p>This episode is brought to you by Glean (<a href='https://glean.io/'>glean.io</a>), the platform for data insights fast, and by epic LinkedIn Learning instructor Keith McCormick (<a href='https://www.linkedin.com/learning/instructors/keith-mccormick'>linkedin.com/learning/instructors/keith-mccormick</a>). Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href='https://www.jonkrohn.com/podcast'>JonKrohn.com/podcast</a> for sponsorship information.<br/><br/>In this episode you will learn:<br/>• Why learn data engineering? [06:55]<br/>• What is data engineering? [08:08]<br/>• What sets Senior Data Engineers apart from junior ones? [13:57]<br/>• The must-know data-engineering tools [20:26]<br/>• The right path to learn data engineering [44:24]<br/>• Are certifications worth it? [51:46]<br/>• The future of data engineering [55:24]<br/>• Andreas&apos;s career challenges [58:48]<br/><br/>Additional materials: <a href='https://www.superdatascience.com/657'>www.superdatascience.com/657</a></p>