Joe Reis

Joe Reis and Matt Housley discuss the demise of the Modern Data Stack, architectural trade-offs, AI applications, data democratization, and caution against blind trend-chasing in tech. They also share excitement for future events and guests.

Data professionals Matt Housley, Chris Tabb, and Joe Reis chat about career advice in the evolving data job market. They discuss remote work challenges, important skill sets for data scientists, proactive job search strategies, in-person collaboration, and the importance of self-motivation in data careers. They also explore ways to improve the value of IT and data teams by adopting a sales or marketing mentality, showcasing data capabilities, and emphasizing the importance of certifications.

Join Joe Reis, co-author of 'Fundamentals of Data Engineering,' and Matt Housley, a cloud technologies consultant, as they dive into the evolving landscape of data engineering. They discuss the necessity of foundational knowledge in this field, the shift to cloud-based solutions, and ensuring data governance. The duo reflects on historical challenges in data integration and the importance of inter-team collaboration to enhance outcomes. Expect a blend of insights and humor as they navigate the complexities of data's role in driving business value.

In a lively conversation, guest Joe Reis, a best-selling author and data modeling expert, delves into modern data approaches that break away from traditional tabular models. He shares insights on the shortcomings of relational models and the impact of AI on hiring practices. Joe also highlights the pressing need for practical data education that aligns with industry demands. Expect a humorous touch as he discusses innovative projects and the importance of adaptability in the rapidly evolving tech landscape.

In this engaging interview, Joe Reis, co-author of 'Fundamentals of Data Engineering,' shares his wealth of knowledge in the data engineering space. He discusses the vital role data engineers play in organizations and contrasts it with roles in data science. Joe dives into the dangers of chasing trendy technologies, the importance of mastering foundational principles, and the complexities of data governance in today’s AI-driven world. Listeners will appreciate his insights into resource constraints and the nuances of managing data integrity across various platforms.

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.

Ben Taylor, CEO of VEOX Inc., Joe Reis, co-founder of Ternary Data, and Juan Sequeda, Principal Scientist at Data.World, discuss the evolution of AI from prompt engineering to goal engineering. They explore whether generative AI is more akin to an electrifying revolution or a blockchain phase. The panel highlights the importance of tackling the POC-to-production gap, understanding AI's failure modes, and balancing executive enthusiasm with employee workload. They also examine how AI's combinatorial abilities can redefine strategies, paralleling the success of AlphaZero in gaming.

Joe Reis, co-author of Fundamentals of Data Engineering and critic of 'vibe coding,' engages in a thought-provoking discussion about the impact of AI on software development. He highlights the dangers of coding by intuition without structure, exploring the balance between innovation and traditional practices. The conversation examines the implications of AI tools on technical debt, security risks, and the evolution of production standards. Moreover, Reis reflects on the importance of craftsmanship and the learning curve in an age of disposable code.

Matt Housley and Joe Reis discuss the current state of generative AI and its potential disruptiveness, challenges of data quality and answer consistency, exploration of directed acyclic graphs (DAGs) in data engineering, limitations and challenges of cron jobs, the potential of students driving innovation, strategies for exam preparation, and upcoming events and podcasts.

In this engaging discussion, Sol Rashidi, a recognized AI visionary, teams up with Joe Reis, a data expert and CEO. They dive into the evolution of AI, emphasizing practical integration strategies for businesses. The conversation covers the nuances of open-source versus managed services, along with the costs involved in AI product development. Rashidi shares insights from her book, advocating for hands-on learning, and both guests reflect on their writing journeys, revealing unexpected reader feedback.