Joe Reis, author of 'Fundamentals of Data Engineering' and forthcoming 'Practical Data Modeling,' shares insights from his journey in the data industry. He discusses the resurgence of data modeling and its significance, alongside the hype versus reality of AI technologies. Joe emphasizes the importance of strong data communities and the rise of informal gatherings post-COVID. He also critiques the evolving role of data governance and encourages a practical approach to coding and data frameworks in today's landscape.
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insights INSIGHT
Data Modeling Resurgence
Data modeling is becoming more desirable due to the pain points of approaches like one big table.
The medallion architecture, while not data modeling itself, sets guardrails and workflows for data usage.
insights INSIGHT
Data Modeling Approaches
Common data modeling approaches include one big table, many tables, and query-driven modeling.
Geographic and cultural patterns influence modeling and architecture choices, with variations across regions.
question_answer ANECDOTE
Building Data Communities
Joe Reis started a Discord community for practical data discussions, incorporating various topics beyond data.
He found that communities thrive when they cater to both professional and personal interests.
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This classic novel by Robert M. Pirsig is a personal and philosophical odyssey that delves into the author's search for meaning. The narrative follows a father and his son on a summer motorcycle trip from the Midwest to California, intertwining a travelogue with deep philosophical discussions. The book explores the concept of 'quality' and how it informs a well-lived life, reconciling science, religion, and humanism. It also touches on the author's own struggles with his past and his philosophical quest, making it a touching and transcendent exploration of human experience and endeavor.
Artificial Intelligence, a Modern Approach
Peter Norvig
Blaise Aguera y Arcas
Artificial Intelligence: A Modern Approach, by Stuart Russell and Peter Norvig, is a comprehensive textbook covering various aspects of artificial intelligence. It provides a broad overview of the field, encompassing search algorithms, knowledge representation, reasoning, machine learning, and natural language processing. The book is known for its clear explanations, numerous examples, and extensive coverage of both classical and modern AI techniques. It serves as a valuable resource for students and researchers alike, offering a solid foundation in the principles and applications of AI. Its wide adoption makes it a standard reference in the field.
Fundamentals of Data Engineering
Joe Reis
Matt Housley
In this episode of The Data T, Joe Reis returns to discuss his journey since his last appearance on our podcast. We chat about the lasting impact of his book, Fundamentals of Data Engineering, and his latest focus on data modeling. Data modeling is the focus of Joe’s upcoming book, Practical Data Modeling, which he is writing publicly on his Substack.
We also explore broader industry trends, including the hype around AI, the resurgence of data governance, and shifting perspectives on data modeling methodologies. Tune in to hear Joe’s candid takes on the impact of AI-generated code, the new “vibe coding” trend, and the importance of strong communities—both online and in-person—in reshaping professional networking in the data industry.
The Data T 
