Operationalizing ML/AI with MemSQL
Practical AI
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Navigating Data Management Evolution
In this chapter, the guest discusses their journey from academic data studies in Russia to hands-on database engineering in the United States, highlighting key differences in mindset and focus. The conversation covers the transition from single-node to distributed database systems, addressing challenges faced by industry giants in adapting to cloud demands and real-time analytics. Additionally, the chapter explores the development of MemSQL and the role of SQL databases in modern data infrastructures, emphasizing their significance in delivering low-latency operational workloads and enhancing decision-making across various sectors.
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