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What’s required to master large numbers of data sources? First, avoid approaches that require writing rules. Then use machine learning and cloud computing to efficiently handle the workload. That advice comes from Mike Stonebraker, a database pioneer who helped create the INGRES relational database system, won the 2014 A.M. Turing Award, and has co-founded several data management startups, including Tamr.
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What’s required to master large numbers of data sources? First, avoid approaches that require writing rules. Then use machine learning and cloud computing to efficiently handle the workload. That advice comes from Mike Stonebraker, a database pioneer who helped create the INGRES relational database system, won the 2014 A.M. Turing Award, and has co-founded several data management startups, including Tamr.
3,132 Listeners