Taking the Guesswork Out of Implementing Hadoop

Sponsored Sessions
Location: E142
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Apache Hadoop is clearly one of the fastest growing big data platforms used by enterprises to store and analyze arbitrarily structured data in search of business insights. However, Hadoop systems are challenging to configure, manage and scale, and Hadoop expertise is hard to find. Join us as we explore the architectural principles of Apache Hadoop and examine the various pain points in implementing a Hadoop cluster. You will learn about techniques to characterize Hadoop workloads in order to design and configure optimally balanced clusters for I/O, CPU, network or memory bound workloads. In addition, you will learn about new HP solutions that ease deployment, management and monitoring of Hadoop Clusters.

This session is sponsored by HP

Photo of Audrey Ng

Audrey Ng


Audrey Ng is the Program Director for Hadoop strategy and business at Hewlett-Packard where she leads business development, strategic alliances, go to market activities, and collaboration with the open source community. Prior to her current position, she served the company as Senior Program Manager for Emerging Applications Technologies where she drove HP’s big data market strategy for Hyperscale business. She has held positions in strategy and operations, marketing, and business development, with an industry breadth spanning scalable computing, high performance computing, and manufacturing. In addition, she has driven early adopter programs in Web 2.0 and B2B as well as new e-service solutions ventures for enterprise corporate accounts.

Photo of Steve Watt

Steve Watt


Steve Watt is the Chief Technologist for Hadoop at Hewlett-Packard. Prior to that he spent 10 years working as a Researcher and Software Architect of Emerging Technologies within IBM Software Strategy and IBM Global Services. Steve is an Apache contributor, active in Open Source and chairs the Hadoop & Big Data User Group in Austin, Texas. Prior to working for HP and IBM, Steve spent several years consulting in the Middle East and working for startups in the United States and his native South Africa. Steve holds 15 US Patents (with 15 Patents Pending) and has published a number of technical books and articles.


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