Spark is white-hot at the moment, but why does it matter? The secret power of big data technologies is that they promote flexible development patterns and economic scaling and are ready to adapt to business needs—but years of focusing on the label “big” has obscured much of the value to those approaching the topic. Skepticism and hype-fatigue are understandable reactions.
Developers are usually the first to understand why some technologies cause more excitement than others. Edd Wilder-James relates this insider knowledge, providing a tour through the hottest emerging data technologies of 2016 to explain why they’re exciting in terms of both new capabilities and the new economies they bring. Edd explores the emerging platforms of choice and explains where they fit into a complete data architecture and what they have to offer in terms of new capabilities, efficiencies, and economies of use.
Edd Wilder-James is a strategist at Google, where he is helping build a strong and vital open source community around TensorFlow. A technology analyst, writer, and entrepreneur based in California, Edd previously helped transform businesses with data as vice president of strategy for Silicon Valley Data Science. Formerly Edd Dumbill, Edd was the founding program chair for the O’Reilly Strata Data Conference and chaired the Open Source Software Conference for six years. He was also the founding editor of the peer-reviewed journal Big Data. A startup veteran, Edd was the founder and creator of the Expectnation conference management system and a cofounder of the Pharmalicensing online intellectual property exchange. An advocate and contributor to open source software, Edd has contributed to various projects such as Debian and GNOME and created the DOAP vocabulary for describing software projects. Edd has written four books, including Learning Rails (O’Reilly).
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