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38:01

Tracking Millions of Ganks in Near Real Time

Posted by Garrett Eardley  on  Dec 12, 2013

Garrett Eardley explores how Riot Games is leveraging Riak for their stats system, discussing why they chose Riak, the data model and indexes, and strategies for working with eventually consistent data.

49:34

Online Controlled Experiments: Introduction, Insights, Scaling, and Humbling Statistics

Posted by Ronny Kohavi  on  Dec 12, 2013 1

Ronny Kohavi shares lessons learned, cultural and scaling challenges conducting hundreds of concurrent online controlled experiments at Bing.

54:26

Beyond Budgeting - a Management Model for New Business and People Realities

Posted by Bjarte Bogsnes  on  Sep 18, 2013

Bjarte Bogsnes discusses Beyond Budgeting and tackling budgeting issues in traditional management, the Statoil "Ambition to Action" management model with implementation experiences and advice.

31:10

Screwing Up For Less

Posted by Stephen Hardisty  on  Aug 18, 2013 1

Stephen Hardisty presents how Etsy delivers products without having project managers, business analysts, or testers.

01:06:24

Panel: Why Exactly Do I Need a Business Analyst on My Next Project?

Posted by Guy Dugas, Angie Duncan, Barb Spurway, Kevin Giles  on  Feb 20, 2013

Guy Dugas, Angie Duncan, Barb Spurway, Kevin Giles discuss about the roles, skills and competencies of business analysts, challenges and experiences, and how they have delivered value.

Distributed Data Analysis with Hadoop and R

Posted by Jonathan Seidman and Ramesh Venkataramaiah  on  Mar 09, 2012 2

Jonathan Seidman and Ramesh Venkataramaiah present how they run R on Hadoop in order to perform distributed analysis on large data sets, including some alternatives to their solution.

Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Oct 21, 2011 1

Nathan Marz explain Storm, a distributed fault-tolerant and real-time computational system currently used by Twitter to keep statistics on user clicks for every URL and domain.

Deriving Agility from SOA and BPM - Ten Things that Separate the Winners from the Losers

Posted by Manas Deb and Clemens Utschig-Utschig  on  Dec 28, 2010

In this presentation from SOA Symposium 2010, Manas Deb and Clemens Utschig-Utschig discuss how to derive business agility from SOA and BPM, motivations for agility, developing and nurturing agility, influencers and dependencies, how SOA and BPM enable agility, pitfalls and recommendations for organizational culture, and pitfalls and recommendations for business and technical architectures.

Machine Learning: A Love Story

Posted by Hilary Mason  on  Nov 09, 2010 16

Hilary Mason presents the history of machine learning covering some of the most significant developments taking place over the last two decades, especially the fundamental math and algorithmic tools employed. She also exemplifies how machine learning is used by bit.ly to discover various statistical information about users.

IIBA Debate on the Role of the Analyst in Agile Projects

Posted by Shane Hastie  on  Aug 31, 2010

At a recent IIBA New Zealand members event Shane and Pete debated the role of the business analyst on Agile projects. Shane presented on why analysis is so important on Agile projects, and why the role of the analyst remains crucial to project success. Pete said that the traditional role of the Business Analyst is under threat and will need to evolve in order to be valued on an Agile project

Agile Project Management Planning and Budgetting

Posted by David Hussman  on  Sep 12, 2006 5

Agile methods are empirical: plan, do, evaluate how it went, plan the next thing. When these cycles are very short, learning happens quickly and teams can move into high-performance mode. But discipline is necessary - planning must happen continuously to feed the fast-moving team. For 80 minutes David Hussman looks at the Agile practices around planning a project, a release, and an iteration.

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