Hadoop has been shown to be a great platform for deriving insights from large quantities of data. With Hadoop, organizations can gather and analyze massive amounts of customer data to optimize processes to improve the customer experience, but there is a caveat. Too often, this optimization takes place as part of a series of manual processes—with analytical pipelines running in batches.
Looking at the business context in which these insights are being applied, you quickly find that the ability to act on real-time data is often equally relevant for making a real impact to organizations trying to be truly data driven. Steven Noels explains how to prime the Hadoop ecosystem for real-time data analysis and actionability, examining ways to evolve from batch processing to real-time stream-based processing.
Steven Noels is the SVP of product at NGDATA, where he is responsible for NGDATA’s overall product strategy and roadmap. Steven cofounded Outerthought—now known as NGDATA—and is the original designer of the Lily platform, which sits at the core of the NGDATA software portfolio. Outerthought was nominated Cool Vendor in Enterprise Content Management by Gartner in 2010. Steven has 15 years of product management experience and is extensively networked with the open source community in and around the Apache Hadoop big data ecosystem. Prior to NGDATA, Steven held senior roles in technology consulting and product management with Alcatel and Wolters-Kluwer, specializing in complex and large-scale data management problems and content publishing. He’s a member of the Apache Software Foundation and holds a board position in the GentBC innovation platform.
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