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Topics covered included the opportunities presented by AWS’ new “Lake House” architecture, the benefits of pairing the right cloud solution with the right customanalytics platform, and how actionable intelligence from cloud sources can take a company’s embedded analytics to exciting new places. Get analyst report.
The abundant growth of data, maturation of machine algorithms, and future regulatory compliance demands from the European Union’s General Data Protection Regulation (GDPR) will shift the landscape for creating a single source of the truth for customerdata.
Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide datalakes versus smaller, typically BU-Specific, “data ponds”.
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