KK Vol. 34 - Summer 2015

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Businesses are pressed to operate in real-time to remain competitive, but traditional batch processing of data feeds continue to incur latency. Fortunately, businesses can now rely on emergent big data technology such as Hadoop and Spark to build processing workflows that parse, categorize, and score information in real-time. This webinar provides background as well as best practices to deploy an elastic, real-time big-data processing cluster using Hadoop and Spark and highlights the benefits of using Nebula’s private cloud infrastructure orchestrated using Scalr’s cloud management platform. Presenters: - Huy Nguyen, Nebula - Thomas Orozco, Scalr Developer Advocate

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