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Wednesday, June 12 • 1:10pm - 1:40pm
Large Scale Data Ingestion, Processing and Analysis: Then, Now & Future

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The presentation aims to highlight the challenges posed by large scale and near real-time data processing problems. In past, such problems were solved using conventional technologies, primarily a database and JMS queue. However these solutions had their limits and presented serious problems in terms of scale and redundancy. The new breed of products - a la Cassandra & Kafka, being innately distributed in their design, aim to tackle such challenges in a very elegant manner. The presentation will showcase some of the use cases of this genre from the industry and describe the solutions which have been increasing in their sophistication.


Ameet Chaubal

Technologist, Accenture
Ameet Chaubal is a technologist within Accenture's Emerging Technology practice. He has over 15 years of experience in all aspects of computing and lately has been focusing on solving big data storage and computation problems. He is interested in identifying the limits of conventional technology and adapting the bleeding edge solutions to fill the gaps.

Fausto Inestroza

Architect, Accenture
Fausto Inestroza is an architect at the Accenture Technology Labs, the dedicated R&D organization of Accenture. His focus is on data platforms, analytical processes and distributed systems.

Wednesday June 12, 2013 1:10pm - 1:40pm
Golden Gate Room Conference Center Fort Mason, San Francisco, CA

Attendees (2)