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THE SIDEKICK PATTERN:
USING SMALL DATA TO MULTIPLY
THE VALUE OF BIG DATA
@AbeGong
Data Scientist, Jawbone
Strata - February 2014

Wednesday, February 12, 14
Wednesday, February 12, 14
Wednesday, February 12, 14
Wednesday, February 12, 14
Wednesday, February 12, 14
Wednesday, February 12, 14
Wednesday, February 12, 14
DATA SIDEKICKS

Wednesday, February 12, 14
EX: HIEROGLYPH
TRANSLATION

Wednesday, February 12, 14
EX: HIEROGLYPH
TRANSLATION

Wednesday, February 12, 14
EX: HIEROGLYPH
TRANSLATION

Wednesday, February 12, 14
EX: CAMPAIGN TARGETING

Wednesday, February 12, 14
EX: CAMPAIGN TARGETING

Wednesday, February 12, 14
EX: CAMPAIGN TARGETING

Wednesday, February 12, 14
EX: SLEEP CONTEXT

Wednesday, February 12, 14
EX: SLEEP CONTEXT

Wednesday, February 12, 14
EX: SLEEP CONTEXT

Wednesday, February 12, 14
[DATA ART EXAMPLE]
SUB-TITLE

Wednesday, February 12, 14
Wednesday, February 12, 14
EXAMPLES, PLEASE:
WHICH DATA STREAMS GET

BIG?
(...AND BESIDES SIZE, WHAT ELSE DO THEY HAVE IN COMMON?)

Wednesday, February 12, 14
BIG, RICH, MESSY

Wednesday, February 12, 14
BIG, RICH, MESSY CAREFULLY CURATED

Wednesday, February 12, 14
TRANSMUTATION!

Wednesday, February 12, 14
EX: HUFFPO MODERATION

Wednesday, February 12, 14
Wednesday, February 12, 14
Wednesday, February 12, 14
EX: HUFFPO MODERATION

Wednesday, February 12, 14
EX: HUFFPO MODERATION

Wednesday, February 12, 14
WHEN SHOULD I USE THE
SIDEKICK PATTERN?

Wednesday, February 12, 14
WHEN SHOULD I USE THE
SIDEKICK PATTERN?
• To

Wednesday, February 12, 14

separate munging and cleaning from scaling.
WHEN SHOULD I USE THE
SIDEKICK PATTERN?
• To
• To

Wednesday, February 12, 14

separate munging and cleaning from scaling.
bootstrap new data products.
WHEN SHOULD I USE THE
SIDEKICK PATTERN?
• To
• To

bootstrap new data products.

• To

Wednesday, February 12, 14

separate munging and cleaning from scaling.

leverage variety against volume.
EX: SLEEP RECOVERY

Wednesday, February 12, 14
EX: SLEEP RECOVERY

Wednesday, February 12, 14
EX: SLEEP RECOVERY

Wednesday, February 12, 14
EX: SLEEP RECOVERY

Wednesday, February 12, 14
Wednesday, February 12, 14
Wednesday, February 12, 14
LEVELS OF ABSTRACTION

Wednesday, February 12, 14
LEVELS OF ABSTRACTION

Wednesday, February 12, 14
LEVELS OF ABSTRACTION

Wednesday, February 12, 14
QUESTIONS? COMMENTS?

@AbeGong
Data Scientist, Jawbone
Strata - February 2014

Wednesday, February 12, 14
Wednesday, February 12, 14
Big
Rich
Messy
Sensory
User experience
External-facing

Abstract
Business logic
Internal-facing

“Qualitative”
Story-making
Wednesday, February 12, 14

Small
Focused
Curated

“Quantitative”
Science-making
TRANSMUTATION EXAMPLES
Example

Example

Property

Rosetta stone

Synonyms/Comparability

Bridge cases in IRT
scaling models

Relative ranking

Campaign targeting

Demographic categories

Sentiment analysis

Categories

Sleep context

Context

Pretty much all
supervised learning

Categories/Scales

Instrumental variables

Causality

...

HuffPo moderation

Credibility

Sleep recovery

Clean examples

Economic mobility

Continuity

Crowdflower gold

Wednesday, February 12, 14

Property

Credibility
RECOMMENDED READING
•

•

Paco Nathan: http://www.slideshare.net/pacoid/using-cascalog-to-build-an-appbased-on-city-of-palo-alto-open-data

•

Jay Kreps: http://engineering.linkedin.com/distributed-systems/log-what-everysoftware-engineer-should-know-about-real-time-datas-unifying

•

Joseph Turian: http://files.meetup.com/1542972/20120202-more-data-samemodels-STUDY-SLIDES.pdf

•

Wednesday, February 12, 14

Pete Skomoroch: http://www.slideshare.net/pskomoroch/strataendorsements-16939466

Me: http://blog.abegong.com/2014/02/wanted-good-examples-of-datasidekicks.html

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The Sidekick Pattern: Strata talk by Abe Gong