This white paper argues that organizations adopting big data technologies must automate big data environments from the outset to avoid the cost, fragility, and inefficiency of hand-coded (“artisanal”) approaches. It introduces Big Data Automation (BDA) as a management discipline and integrated platform that applies metadata, governance, orchestration, and automation across the logical data warehouse, combining traditional data warehouses with big data systems. The paper emphasizes freeing scarce IT talent for high-value work, improving time-to-value, and sustaining agility during architectural transitions. It also provides guidance on selecting initial BDA projects and scaling automation across IT over time.

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