Presented during the event: How to build an enterprise-class data visualisation app using D3js over a Billion of rows of data stored in AWS Redshift"

1. SQUIDFLOW
! APPLICATION
DEVELOPER STANDPOINT
DATAWEEK & MEETUP / SAN FRANCISCO

2. Manage large datasets with D3?
!
● Load all the data in the browser
● Use a "DB API"
● Use an "Analytics API"
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3. Architecture Overview
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4. The SquidFlow DataSet
Usage
browser
country
referrer_category
...
first_interaction
second_interaction
third_interaction
...
Referrer
referrer_category
name
...
Account
account_id
name
"Facts" table. ...
1 row = 1 user session
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5. Enterprise web app requirements
● Handle user authentication
● Manage app status/errors
● JS and CSS files loading optimisation
● Use an MVC
● Organise code into components
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6. Enterprise web app stack
● Backbone
● Grunt
● Bower
● Squid JSSDK
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7. SquidFlow
SquidFlow app features
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8. SquidFlow
Let's Code!
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9. Thank you!
https://github.com/squidsolutions
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