Video and slides synchronized, mp3 and slide download available at http://bit.ly/15yAwdV. Quentin Adam discusses the connections between NoSQL, data processing, message broking and JavaScript, and how one can quickly prototype with these tools. Filmed at qconlondon.com. Quentin Adam is the CEO of Clever Cloud, a disruptive Platform as a Service allowing PHP, Java, Scala, Ruby or Node.JS apps to run directly as they are, quickly, with auto scaling of the resources they need. Quentin is an early server-side JavaScript evangelist, Scala enthusiastic, a JVM lover and distributed architecture user. Apart from Clever Cloud, he's also the founder of CompanyCamp.us.

1. +
Javascript as a data
processing language &
htlm5 integration
Qcon London 2013 – Quentin ADAM

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4. +
Who I am ?
n Quentin ADAM
n @waxzce on twitter
n CEO of Clever Cloud, the most
powerful PaaS in Europe ;-)
clever
c l o u d

5. +Why we have to talk about
data processing ?

6. +
Big change in software industry
n One instance
n One organization
n One data repository
n One instance (distributed)
n Multiple organization + a lot of
users
n One data repository
Yesteday Now
Multi-tenant

7. +
Instance for one
Organization
ACID
• Atomicity
• Consistency
• Isolation
• Durability
Powerful
data
management
• Transaction
• User
management
• One above one
Take advantage of ACID database

8. +
But it designs a bottleneck

9. +
Example : e-shop on classic mode

10. +
Example : e-shop on classic mode
User A buy a
hdd
Database Transaction :
• Stock management
• Order management
• Invoice generation
• Customer Account reward
• …
Transaction
user A is
processed
Stock &
Order are
just perfectly
synchronize

11. +
Example : e-shop on classic mode
User A buy a
hdd
Database Transaction :
• Stock management
• Order management
• Invoice generation
• Customer Account reward
• …
Transaction
user A is
processed
Stock &
Order are
just perfectly
synchronize
User B buy a
hdd Transaction
user B is
processed
then

12. +
Example : e-shop on multi-tenant
mode
n i.e. : Multiple shop of various sellers on the same instance

13. +
Example : e-shop on multi-tenant
mode
User A buy a
hdd on seller A
Database Transaction :
• Stock management
• Order management
• Invoice generation
• Customer Account reward
• …
Transaction
user A is
processed
Stock &
Order are
just perfectly
synchronize
User B buy a
book on seller B Transaction
user B is
processed
then

14. +
Who care the
synchronization of vendor
A & B ?

15. +
Destroy the bottle
neck and switch to
another storage
system
This is why the noSQL movement
start.

16. +
noSQL = not only SQL

17. +Now talking about how to get
data from storage

18. + SQL don’t solve all the data processing
expression.

19. +
Some javascripts facts
n Run for server needs at the beginning
n Netscape Server in 1996, and then in IIS
n Clearly a major language
n Run on
n Browser
n Mobile
n Servers
n Easy to integrate
n Most peoples know it
n Most used language
on github
n Event driven

20. +
So, can we use
javascript as a data
processing
language ?

21. +
Data processing is focus on
n Find
n Filter
n Manage collection
n CRUD order

22. +
Map / reduce => the big bang of
new data processing
n Atomize the problem
n Easy to parallelize
n From the functional
programing model
Get the result
Reduce : filter data & aggregate
Map : transform data to what you
need (apply function)
Get a k/v data

23. +
Do you wanna some functional
programing ?
Javascript is so flexible than we can apply several
patern on top of the language

24. +
And map/reduce ?

25. +
NoSQL we can considerate for
example
n Object Store
n Key/Value with documents capacities
n Pure Document
n Column based

26. +
NoSQL we can considerate for
example
n Object Store
n Key/Value with documents capacities
n Pure Document
n Column based

27. +
And one more !
With localStorage features

28. +
JSON domination
n Store
n Processing n Access

29. +
Example with riak
n Key/Value
n http REST & protobuff data API
n Store JSON data on a URL
n Very good distribution
n Good performances

30. +
Example with riak map/reduce

31. +
Put some real time
n Lots lots of noSQL DB handle a _change_ pipe :
n All datas and updates stream
n Bind it on a websocket : put some real time on your
application

32. +
Data as a Service
API clients
• Full web client : html5
+ local storage
• Mobile : phonegapp
or native
• Other servers app
API
RESTFull
Various
backen DB

33. +
Data as a Service
n Data as others service
n With the same language the application
n Build sync algorithm to start offline / online software
n Some protocol : atom, gdata, oData
n Some popular API : S3, twitter, EC2…
n Security and access layer : oauth…

34. +
DataBase as a Service
n Xeround
n Amazon dynamo
n Lots of heroku addon
n Kinvey
PaaS

35. +
Transparent data consumption
n Webkit JavaScriptCore
n REST / JSON
n Data Classes
n auto-updatable
n accessors
n events
n Methods
n Cool html5 IDE
n Best use case : work oriented app
Atomatic data access
framework

36. +
Wakanda example
http://play.wakanda.org/

37. +
How to start ?

38. +
Find a toy project

39. +
Use hosted services
n Less ops footprint
n No more instalation
n Quick learn curve
n Focus on your needs & values

40. + Innovate & write kick ass
apps

41. +
Thx for Listening & Q/A time
clever
c l o u d
http://twitter.com/waxzce
Quentin ADAM on google ;-)
quentin.adam@clever-cloud.com
n http://www.clever-cloud.com
n http://engineering.clever-cloud.com/
Thx to the
http://qconlondon.com