Matt Housley

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.

Matt Housley, an expert in consulting, data, and AI, shares his insights on navigating career transitions amid the evolving job market. The conversation dives into the influence of Generative AI on industries and the importance of data quality. Housley highlights the challenges of consulting and entrepreneurship, offering advice on strategic communication and personal branding. The duo also discusses AI's dual impact on coding and the music landscape, emphasizing the need for fundamental skills and authenticity in the face of technological advancements.

Tony Baer, an industry veteran with a sharp focus on data dynamics, joins data expert Matt Housley and knowledge graph enthusiast Juan Sequeda. They share insights from Data Day Texas, highlighting the charm of grassroots conferences where meaningful conversations thrive. They discuss the shift from big data to AI, the rise of knowledge engineers, and the critical role of context in data usage. The trio dives into the complexities of AI governance and the importance of interdisciplinary collaboration, emphasizing the need for improved data practices in an evolving landscape.

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.

Debate between big and small data in 2023. Exploration of AI and ML, massive LLMs vs. small data alternatives. Will Big Data reign supreme or will small data become more popular?

Joe Reis, known for his engaging discussions on technology trends, and Matt Housley, who offers insights into tech topics, dive into the current tech landscape. They tackle the recent downturn and dissect the AI hype bubble, sharing candid thoughts and predictions. Additionally, they discuss the challenges and importance of crafting quality content in data engineering education, emphasizing personal experiences in project management and the value of well-structured learning resources.

Matt Housley, a Data and ML engineer, discusses fads in data, data and ML engineering, tech hubs, and more. Topics include evolution of data tools and trends, balancing cutting-edge tech with foundational practices in ML, legal risks in business ventures, and navigating data ingestion costs for AI model training.

Join Joe Reis and Matt Housley as they chat with Jon Krohn about data engineering basics, distinctions between data scientists and engineers, tools, top techniques, undercurrents in the data engineering lifecycle, trade-offs in data pipelines, and favorite data engineering tools and techniques.