Tech Education and Data Engineering
Overview
In this enlightening episode of Data Bytes, we dive into the intricate world of data engineering with none other than Joe Reis, a celebrated figure in the tech education and data engineering arena. Joe, currently wearing multiple hats as an Instructor at DeepLearning.AI, CEO of Ternary Data, author with O'Reilly Media, and an adjunct professor at the University of Utah, brings a wealth of knowledge and experience to our table.
Fundamentals of Data Engineering: Joe starts off by sharing his inspiration behind co-authoring 'Fundamentals of Data Engineering'. He delves into the core principles of data engineering, its evolution, common challenges in the field, and his top advice for beginners. This segment is a goldmine for anyone looking to deepen their understanding of data engineering.
DeepLearning.AI Course Insights: Next, we explore the DeepLearning.AI course. Joe gives us a sneak peek into what the course covers, its target audience, and how it can pivot careers towards AI and machine learning. He also sheds light on the real-world applications of the course content and forecasts the future of AI education.
Journey from Data Science to Data Engineering: In a candid conversation, Joe reveals his personal journey, transitioning from data science to data engineering. He defines what it means to be a 'Recovering Data Scientist™', discussing the challenges and rewards of this shift. His insights and advice are invaluable for professionals contemplating a similar career path.
The Future of Data Roles: Finally, Joe shares his perspective on how the roles of data scientists and data engineers are evolving. This is a must-listen for anyone curious about the future landscape of data careers.
About Joe
Best Selling Co-author of Fundamentals of Data Engineering (O'Reilly 2022), Data Engineer and Architect, Recovering Data Scientist ™ , Speaker, Professor, Podcaster and Content creator. Check out the Monday Morning Data Chat for interviews with the top minds in data.
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