The article explores the insights shared by Marck Vaisman, a cloud architect and data scientist at Microsoft, regarding the significant transformation in data science over the last 20 years. Originally characterized by statistical models and simple SQL queries, the field has expanded to include complex technologies like cloud computing and generative AI. Marck highlights the importance of community learning and the evolution of the role from 'data scientist' to 'data practitioner', emphasizing the need for a wide array of specialized skills in today's landscape.
Mark Vaisman discusses the evolution of data science over the past 20 years, emphasizing the shift from statistical models to a diverse skill set required for today's data practitioners.
As data has grown, so too has the role of data practitioners, evolving from SQL and Excel-based foundations to a landscape heavily influenced by cloud computing and AI.
Marck emphasizes the term 'data practitioner' as a more accurate representation of the diverse specializations that exist today, moving beyond the overloaded term 'data scientist'.
His experience underlines the importance of community-driven learning, highlighting how peer interactions have significantly contributed to individual growth within the evolving field.
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