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Predictive maintenance (PdM) is one of the biggest promises created by the Internet of Things. Learn how to automate some of the data engineering grunt work of PdM modeling with latest data article courtesy of Teradata. http://oreil.ly/2a4W9ft
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R is the fastest growing advanced analytics language with a vibrant community of data scientists, analysts, and researchers . Join Roger Fried and Brian Kreeger on August 16th for a free webcast about building an architecture to scale R. http://oreil.ly/29S1S8f
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In the latest data article, Natalino Busa discusses the evolution of advanced analytics in Spark and the challenge of delivering big data analytics to the masses. http://oreil.ly/29rdxha
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Explore how the analytics ecosystem has evolved into what it is today as well as a look into its future and the systems behind it. Get a free copy of Architecting for Access by Rich Morrow courtesy of Looker Data. http://bit.ly/29LHBnB
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Author Lee Atchison outlines basic techniques for building applications that can handle large quantities of data. Get free chapters from "Architecting for Scale" courtesy of New Relic. http://bit.ly/29uDpc8
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Containers make developing, distributing, and running software simpler and more robust than ever before. Using Docker by Adrian Mouat is a hands-on guide to using containers across the entire lifecycle of your applications. Download two free chapters compliments of NGINX. http://bit.ly/29HYezu
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In this new data article, author Rachel Wolfson discusses different data analytics tools that enable enable broad access and clear, effective communication about data. http://oreil.ly/29Vt8SP
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The software development industry is increasingly realizing that success depends on a project’s long-term viability. To help with that effort, learn ten guidelines for delivering maintainable code from Abraham Marin-Perez's report. Download a free copy of Real-World Maintainable Software courtesy of Software Improvement Group. http://bit.ly/29yMqwX
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Tune into the latest data podcast to hear Andy Oram and Sean Suchter explain how Spark will fit into—and change—the current ecosystem of distributed computing tools. http://oreil.ly/295tVjx
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