To address SLA and capacity limitations in NetApp’s phone-home processing, NetApp kicked off a program to implement a Hadoop-based solution on NetApp’s E-Series storage. The solution is built to handle 2-5 TB/week of incoming data, and address multiple use cases – real-time data access, aggressive processing SLAs for transactions, standard reporting, data mining, data augmentation and distribution. This session will discuss the history of the problem, the technical architecture of the solution, and how Pentaho is used to address the challenges these disparate use cases pose for Hadoop alone. Takeaways will include recommendations for success with Pentaho in a Hadoop-based big data solution.
This session is sponsored by Pentaho
Dave is responsible for assisting Pentaho’s corporate customers and technology partners with the evaluation, development and deployment of big data strategies and solutions. He has nearly 20 years of experience with database technologies, data warehousing and business intelligence and has held a variety of senior positions including business development, product marketing, pre-sales management and professional services at Sagent, Temtec and PLATINUM technology. Dave has been with Pentaho since its commercial inception. He holds a Masters degree in Information Science from the University of North Texas and is a lifelong sailor.
Ben Lloyd has been with NetApp for 6 years, and spent more than 25 years in IT, managing solution implementation projects, Quality, and Support teams. He’s managed or architected projects in Data Warehousing, SFA, Workflow Management, ERP, CRM, Web, Content Management, Fault Diagnosis, and Analytics. In 2011, he took a role in NetApp’s Customer Support organization managing the program to implement the next generation solution for handling NetApp’s phone-home application (AutoSupport).
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