For newbie data scientists and enterprise decision makers who need a quick way to get up to speed with MapReduce, the technology underlying Hadoop, here is a slide presentation “Introduction to MapReduce: an Abstraction for Large-Scale Computation” by Ilan Horn of Google. In addition, here is the seminal paper on MapReduce by Jeffrey Dean and Sanjay Ghemawat — MapReduce: Simplified Data Processing on Large Clusters.
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In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.
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A White paper by Philip Howard, Bloor Research International Ltd on critical considerations for Hadoop deployments and the role of appliances.
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