Data is Getting Boring Again

For the last five years, the term “” has evoked heady dreams of transforming business as we know it. The use cases were as broad and brash as as the imaginations of senior executives. Data scientists became rockstars and could name their own salaries. New approaches to storage and analytics, including distributed workloads on commodity hardware with open-source software, meant the performance and economics of extracting insights from data was radically shifted. The future’s so bright, we’ve got to wear shades.

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