Cloudera User Group - From the Lab to the Factory

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From The Lab to the Factory

Building A Production Machine Learning Infrastructure

Josh Wills, Senior Director of Data Science

Cloudera

One Other Thing About Me

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Data Science: Another Definition

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Data Scientists Build Data Products.

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A Shift In Perspective

Analytics in the Lab

• Question-driven

• Interactive

• Ad-hoc, post-hoc

• Fixed data

• Focus on speed and

flexibility

• Output is embedded into a

report or in-database

scoring engine

Analytics in the Factory

• Metric-driven

• Automated

• Systematic

• Fluid data

• Focus on transparency and reliability

• Output is a production system that makes customer-facing decisions

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All* Products Become Data Products

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Identifying the Bottlenecks

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Oryx: Model Building and Serving

• Algorithms

• ALS Recommenders

• K-Means Parallel

• RDF

• Batch model building

via MapReduce*

• Server for real-time

scoring and updates

• PMML 4.1 Models

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Oryx Design

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Generational Thinking

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The Limits of Our Models

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Space Exploration

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Data Science Needs DevOps

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Introducing Gertrude

• Multivariate Testing

• Define and explore a

space of parameters

• Overlapping

Experiments

• Tang et al. (2010)

• Runs multiple

independent

experiments on every

request

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Simple Conditional Logic

• Declare experiment

flags in compiled code

• Settings that can vary per request

• Create a config file that contains simple rules for calculating flag values and rules for experiment diversion

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Separate Data Push from Code Push

• Validate config files and

push updates to servers

• Zookeeper via Curator

• File-based

• Servers pick up new

configs, load them, and

update experiment

space and flag value

calculations

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The Experiments Dashboard

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A Few Links I Love

• http://research.google.com/pubs/pub36500.html

• The original paper on the overlapping experiments

infrastrucure at Google

• http://www.exp-platform.com/

• Collection of all of Microsoft’s papers and presentations on

their experimentation platform

• http://www.deaneckles.com/blog/596_lossy-better-

than-lossless-in-online-bootstrapping/

• Dean Eckles on his paper about bootstrapped confidence

intervals with multiple dependencies

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Josh Wills, Director of Data Science, Cloudera @josh_wills

Thank you!