Controlled Experimentation (or A/B testing) has evolved into a powerful tool for driving product strategy and innovation. The dramatic growth in online and mobile content, media, and commerce has enabled companies to make principled data-driven decisions. Large numbers of experiments are typically run to validate hypotheses, study causation, and optimize user experience, engagement, and monetization.

The popularity of controlled experimentation has given birth to several companies that specialize in offering tools and services to effectively setup, manage, and monitor large-scale tests. While the simplicity of this concept is disarming, there are several pitfalls that can stymie progress and occasionally lead to poor decisions.

In this talk from The Hive’s Big Data Think Tank Meetup at Microsoft Rajesh Parekh discusses the guiding of product innovation with controlled experimentation:


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Organized by SF Bay Area Large-Scale Production Engineering, this is a talk from their recent Dynamic Scaling meetup at Yahoo! URL’s cafe. In this talk, Aren Sandersen, Head of Tech Ops at Pinterest, will cover how they Dynamically Scale at Pinterest.


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Here’s the recording of the second talk from the first d3.js meetup of 2013.

Chris Viau, co-organizer of this meetup and the force behind d3visualization will be presenting on the d3 community, how to get the most out of it and how to get involved.

The d3 heatmap we showcased during the meetup is finally on github: https://github.com/lbrucher/d3-tree-heatmap


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From Mobile night: Cross-Platform Mobile Development Frameworks and more Meetup last Monday:

In this talk, Matt Rogish (CTO of FundingGates), will discuss the pros and cons of PhoneGap, give a brief survey of other cross-platform mobile application frameworks, and an overview to the PhoneGap architecture/ecosystem:

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Sean Grove from ZenBox will be presenting ‘Future-proofing your app using Redis’ in this recording of the second talk from Redis’ first meetup (in a while).


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This talk is the third of four from the Dynamic Scaling meetup organized by SF Bay Area Large-Scale Production Engineering.

(from Meetup)
Despite all the buzz about it, building a horizontally scalable application for cloud deployment isn’t all that different from building one for a physical deployment, except in its ability to change size on-the-fly. Bigger applications have been using commodity hardware and fault-tolerant design to achieve high availability and scalability for a while, but provisioning capacity remains troublesome there. The real addition the cloud brings architecturally is the ability to add new resources instantly, and even change your provisioning profile algorithmically.

The talk is from Sebastian Stadil, founder of Scalr, and it’s called “Setting Up Automated Scaling.”


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Mar 112013
 

Today we’ve got the recording of the first geek talk from the recent SF Redis meetup. Aren Sandersen, Head of Tech Operations at Pinterest, talks to us about their usage of the advanced key-value store in his talk titled ‘Redis at Pinterest’:


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Today we’re bringing you the audio from the February 25 Udacity study group at Google. Peter Lubbers, Colt McAnllis, and Sean Bennett are on hand answering questions on the HTML5 game programming course.


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Here’s the recording of the first talk of the first d3.js meetup of 2013! Starting the year off with some talks about how to get started with D3:

Scott Murray, the author of Interactive Data Visualization for the Web and the best d3 tutorial on the web will be talking about learning d3.

The d3 heatmap we showcased during the meetup is finally on github: https://github.com/lbrucher/d3-tree-heatmap


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Let us preface this by apologizing for poor recording quality! We had a technical issue that caused clipping on the audio. :(
We will get a transcript up soon to save your ears.

Despite that, we’ve got a recording from the Hadoop meetup last night in AppNexus. Ted Dunning, Chief Application Architect at MapR Technologies, will talk about recent developments in Mahout and real-time learning.

In particular, Ted covers the results from quality and speed testing of Mahout’s new super-fast k-means clustering algorithms (hint, quality is very good and speed is phenomenal). He also dives deep into a design for a on-line clustering facility that can cluster the full content of the Twitter fire-hose into thousands of clusters in real-time.

Full transcript of this talk can be found here

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