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John Akred

John Akred
CTO, Silicon Valley Data Science

Website | @BigDataAnalysis

John Akred likes to help organizations become more data driven. Mr. Akred has over 15 years of experience in advanced analytical applications and analytical system architecture. He is a recognized expert in the areas of applied business analytics, machine learning, predictive analytics, and operational data mining. He has deep expertise in the application of various architectural approaches such as: distributed non-relational data stores (NoSQL), stream processing, in-database analytics, event-driven architectures and specialized appliances; to real-time scoring, real-time optimization, and similar applications of analytics at scale.

John received a BA in Economics from the University of New Hampshire, and a MS in Computer Science, focussed on Distributed Systems from DePaul University.


Hadoop Platform Grand Ballroom West
Tutorial Please note: to attend, your registration must include Tutorials on Monday.
John Akred (Silicon Valley Data Science), Richard Williamson (Silicon Valley Data Science), Stephen O'Sullivan (Data Whisperers)
Average rating: ***..
(3.71, 17 ratings)
What are the essential components of a data platform? This tutorial will explain how the various parts of the Hadoop and big data ecosystem fit together in production to create a data platform supporting batch, interactive and realtime analytical workloads. Read more.
Office Hour Table C
John Akred (Silicon Valley Data Science)
Are you trying to navigate the changing technology landscape for your organization? Are you confused by the platforms and frameworks available? Don't know where to start with data strategy for your organization? Struggling to find the business value in big data technology investment? I'd be happy to help! Read more.
Enterprise Data Grand Ballroom West
Bill Schmarzo (EMC Consulting), John Akred (Silicon Valley Data Science), Anand Raman (Impetus Technologies), Scott Rose (Think Big Analytics)
Average rating: ***..
(3.67, 3 ratings)
Opinions might be plentiful in big data, but experience is rare. Join this interactive session to quiz some of the industry's most seasoned minds about what works and what doesn't when it comes to bringing big data to business. Read more.
Enterprise Data Grand Ballroom West
John Akred (Silicon Valley Data Science), Stephen O'Sullivan (Data Whisperers)
Average rating: ****.
(4.50, 4 ratings)
A modern CIO rationalizing a company’s data architecture must consider a mix of deployment options like a utility executive has to invest in a good generation mix. We articulate a framework for applying the deployment levers available to architects as they plot a course forward in this era of big data technologies, born of our deep experience implementing the world's largest data platforms. Read more.


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