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Jack Norris

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Moving analytics from archive to active business intelligenceStrata Data Conference 2017 - New York, New York2017-09-25
A new database announcement converges transactional and analytical workloads so one cluster handles high-read, high-write and in-place machine learning with…
Talk on
Unpacking MapR EdgeStrata + Hadoop World 20172017-03-13
Announces MapR Edge as a small-footprint edge node that can run on an Intel NUC and join the full MapR fabric so management, data protection and a global…
Talk on
What is your data platform?Strata + Hadoop World 2016 - New York, New York2016-09-27
Claims a converged data platform unifies storage, streaming, legacy and analytics so one system handles operational and analytic workloads at scale. Cited…
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Let's Get Real: Acting on Data in Real TimeStrata + Hadoop World 2016 - San Jose, California2016-03-29
Real time means from data collection to business action, not just low-latency queries, and requires collapsing hundreds of operational silos into a converged…
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Interview with Jack Norris, MapR SVP Data & ApplicationsStrata + Hadoop World 2016 - San Jose, California2016-03-29
Claims that 2016 is the year of real time across the whole process with analytics embedded into operations to make machine generated adjustments, not just…
Interview on
present role and futureStrata + Hadoop World San Jose 20152015-02-17
Companies shift to a data-first architecture where applications come to the data, not vice versa, and many customers run 50 different use cases with thousands…
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MapR Snapshots and the Big Data EcosystemStrata Conference 20142014-02-11
MapR provides point-in-time consistent snapshots across the cluster that allow rollbacks for corruption or user error with no additional data footprint, unlike…
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Separating Hadoop Myths from RealityStrata Conference New York + Hadoop World 20132013-10-28
Claims that commercial Hadoop distributions all behave the same are rebutted with architecture: MapR removes Java layers and the HDFS single-write choke…
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Hadoop and Big Data HypeStrata Conference New York + Hadoop World 20132013-10-28
Argues Hadoop is ready for production today and gives concrete benefits: $15–16k per TB vs a few hundred storage cost, faster low-cost analytics that let teams…
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