SDS 595: Data Engineering 101 — with Joe Reis and Matt Housley
Super Data Science: ML & AI Podcast with Jon Krohn
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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on Super Data Science, the most listened-to podcast in the industry. In lighthearted conversation with renowned guests, Jon cuts through hype to fuel your professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
Video Description
#DataEngineering #DataEngineeringTools #DataEngineering101 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. In this episode you will learn: • What is data engineering? [2:05] • Why Joe and Matt identify as “recovering data scientists” [4:22] • What kinds of people tend to become data scientists vs. data engineers [8:48]? • Key components of Joe and Matt’s book [24:40] • Major undercurrents across the data engineering lifecycle [26:36] • The most under-utilized tool in a data engineer's toolbox [32:49] • How there are tradeoffs in any data pipeline latency considerations, but faster is typically the default assumption [37:04] • Joe and Matt’s favorite data engineering tools and techniques [41:49] Additional materials: https://www.superdatascience.com/595
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