SDS 595: Data Engineering 101

<p>Tune in as Joe Reis and Matt Housley, co-founders of Ternary Data and co-authors of the book “Fundamentals of Data Engineering” join Jon Krohn to discuss major undercurrents across the data engineering lifecycle, and their top tools and techniques.</p><p>In this episode you will learn:<br/>• What is data engineering? [3:55]<br/>• Why Joe and Matt identify as “recovering data scientists” [6:12]<br/>• What kinds of people tend to become data scientists vs. data engineers [10:38]?<br/>• Key components of Joe and Matt’s book [26:31]<br/>• Major undercurrents across the data engineering lifecycle [28:26]<br/>• The most under-utilized tool in a data engineer&apos;s toolbox [34:39]<br/>• How there are tradeoffs in any data pipeline latency considerations, but faster is typically the default assumption [38:55]<br/>• Joe and Matt’s favorite data engineering tools and techniques [43:39]</p><p>Additional materials: <a href='https://gate.sc/?url=http%3A%2F%2Fwww.superdatascience.com%2F595&amp;token=13379f-1-1658821877041'>www.superdatascience.com/595</a></p>