Bridge to Big Data

Tuesday, October 23
9:00am - 5:00pm
Nassau
Please note: to attend, your registration must include Tutorials.

For CIOs, IT executives, and technology professionals, Strata’s Bridge to Big Data lays out the roadmap to get your organization up to speed on big data. In this all-day event, learn how to create big data strategy, manage your first pilot project, demystify vendor solutions and understand how big data differs from BI.

Bridge to Big Data will be chaired by industry experts Edd Dumbill (Program Chair, Strata), Mark Madsen (Third Nature) and John Akred (Accenture).

Overview

In most companies, the brief for big data will be given to those who already have responsibility for IT, business intelligence or marketing. But what happens after the CEO hands you the big data portfolio? While many big data problems will be familiar, there are also unique challenges and opportunities.

“Bridge to Big Data” combines hard-to-find real-world experience with an independent perspective and deep data know-how. Join us for an essential big data strategy workshop, tailored for CIOs and enterprise IT professionals.

Schedule Overview

• Revolution or Evolution? — Mark Madsen, Third Nature
• A Most Excellent Big Data Strategy — Bill Schmarzo, EMC
• Big Data is Not Yet Another IT Project — Krish Krishnan, Sixth Sense Advisors Inc
• Planning A Big Data Pilot — Michael Gold and Ryan McClarren, Farsite
• Moving to Big Data: Organizational Strategies — Sheridan Hitchens, Auction.com
• Data Wrangling — Joe Hellerstein, UC Berkeley
• Hadoop and Enterprise Data Architecture — Jim Walker, Hortonworks
• Not Just Hadoop: NoSQL in the Enterprise — Steve Francia, 10gen

Topics addressed will include:

• The difference between big data and BI
• Picking a test project and getting buy-in
• Scaling up after your pilot project
• Big data strategy: centralized or distributed
• How to avoid creating competing big data efforts
• Beating buzzwords: every vendor has “big data” solutions
• How big data changes future IT planning and data architecture

Schedule