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Saturday, October 20 • 2:30pm - 3:00pm
Big Data for the Rest of Us

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Its an exciting time in the Big Data and Machine learning space! Never before has there been such an abundance of open-source tools and projects available for companies to leverage when they build their big data solution.

Leveraging the correct framework can significantly accelerate the development of a big data solution, making it simplicity for small teams to develop solutions that scale to terabyte data sets with relative ease. However, it is important to understand that each of the available frameworks are targeted at addressing specific pain points, that may, or may not, be relevant to your specific requirements and environment. The use of poorly suited frameworks, at best, provide little benefit to development and potentially introduces significant unnecessary complexities and downstream limitations.

In this presentation we highlight key factors to consider when developing a big data architecture, discuss the applicability of different big data frameworks to design around and the benefits and pitfalls associated with many of the common frameworks.

avatar for Lawrence Spracklen

Lawrence Spracklen

VP of Engineering, SupportLogic, Inc.
Dr. Lawrence Spracklen leads engineering at SupportLogic, where he leads a team applying AI to the enterprise technical support space. Prior to joining SupportLogic, Lawrence lead engineering teams at two other ML startups; Alpine Data and Ayasdi. Before this, Lawrence spent over... Read More →

Saturday October 20, 2018 2:30pm - 3:00pm
Ballroom # 408A