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DataFramed
#252 Is Big Data Dead? MotherDuck and the Small Data Manifesto with Ryan Boyd Co-Founder at MotherDuck
Oct 14, 2024
48:50
Snipd AI
Ryan Boyd, Co-founder and VP of Marketing at MotherDuck, dives into the evolving landscape of data management. He advocates for the 'small data manifesto,' emphasizing the efficiency of manageable datasets over overwhelming big data. The conversation highlights the limitations of cloud computing and the advantages of local data workflows, showcasing tools like DuckDB for user-friendly data analysis. Boyd also explores the distinctions between transactional and analytic databases, promoting a simpler, more effective approach to data access and processing in today’s complex environment.
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Quick takeaways
- The podcast emphasizes a shift from traditional big data strategies to a focus on smaller, more manageable datasets for improved efficiency.
- It explores the trend of hybrid computing, combining local and cloud resources to enhance performance and reduce latency in data analysis.
Deep dives
The Evolution of Data Size Perception
The podcast discusses the need to reassess the narrative surrounding the growth of data, emphasizing that while data is indeed increasing, its expansion may not be as exponential as previously thought. Many businesses do not handle massive datasets, as evidenced by statistics indicating that a significant portion of organizations operate with less than one terabyte of data. As technology has advanced, computing power has outpaced data growth, enabling efficient analytics even on personal devices like laptops. This shift suggests that companies may need to update their data strategies to focus on the practicalities of managing smaller datasets.
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