The document discusses leveraging Drupal as a scalable data management solution, integrating it with emerging technologies for enhanced performance. It highlights issues related to data architecture, such as bottlenecks and the need for modular designs to improve application efficiency. The content emphasizes the importance of dynamic query builders and denormalized storage for rapid development and effective data utilization.

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Drupal as
a Data Purveyor
Layering Drupal with emerging technologies to create a
performant, scalable data purveyor.

2. ASTONISH DESIGN
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ASTONISH DESIGN
C H A N G E G A M E
Diana Montalion Dupuis
@dianadupuis
Sam Heuck
@samheuck
Andrew Elster
@filmknurd

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ASTONISH DESIGN
C H A N G E G A M E
We have a new website: astonishdesign.com
@Astonish_Design

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An open-source content management PHP/MySQL framework designed
for rapid development of content-rich web applications.

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Reasons (among many)
• Growth: evolving tool
• Foundation skill set
• User features

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http://jdhancock.com/ • JD Hancock• http://farm9.staticflickr.com/8322/8031897271_9c63e48a29_b.jpg

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“Big” Data
"Big" in relation to the amount
of content Drupal is designed
to manage

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Volume

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Velocity
BIKE WALLS• http://www.bikewalls.com

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Variety

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Content
•Every kind of data
•Coming from everywhere

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Current Issues
•Bootstrapping
•Bottlenecks - Normalized - Join Happy
•Lack of solution architecture

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Views
Rapid
Development
Platform
Visitors
& Content
Authors
Miners
Who is the user?

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Welcome to the future
When modularizing the architecture creates performant applications for
all content and all users.

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Traditional Optimizations

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A Balancing Act

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Go for the low hanging fruit

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ELENA ELISSEEVA, SHUTTERSTOCK • http://www.shutterstock.com/pic.mhtml?id=61884133
Case Study: NRG

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High Abstraction
Easy to Maintain
Cheap
Low Abstraction
Hard to Maintain
Costly
Views
Query Builder
Dynamic Queries
Static Queries
Low
Performance
High
Performance

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The problem with views...

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In other words...

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Solution!
Dynamic • Extensible • Integrated
Query Builder API

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High Abstraction
Easy to Maintain
Cheap
Low Abstraction
Hard to Maintain
Costly
Views
Query Builder
Dynamic Queries
Static Queries
Low
Performance
High
Performance
OLEKSANDR DIBROVA/DEPOSITPHOTOS • http://depositphotos.com/10983976/stock-photo-Brick-Wall.html

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Duplicate
Data
Rapid
Development
Platform
Denormalized
Document Storage for READS
Normalized
Relational for WRITES
Data Mining
Content & Data
Creation
CoSQL

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CAP Theorem

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DOUG BEGHTEL/THE OREGONIAN • http://www.oregonlive.com/foodday/index.ssf/2011/09/act_quick_on_those_grocery_out.html

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In our next session ...

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Questions?