BIG DATA VS. OPEN DATA

Big Data-The Size

Big data refer to the ongoing accumulation of

massive, often complex and always-changing

data sets – for instance, machine-generated

data from sensors or cell phone GPS signals.

Or it may be data from social media sites. Big

data’s value is that it can be analyzed and

manipulated to provide insights and promote

better decision-making.

Attributes of Big Data:Volume, Velocity -

streaming, Variety

Sources of Big Data: Social networks, Web

server logs, Traffic flow sensors, Satellite

imagery, etc.

Big Data Application Domains: Healthcare,

The public sector, Retail, Manufacturing, Personal-location data, Finance, etc.

Open Data-The Use

“While Big Data is defined by its size, open data are defined by its use,” notes Joel Gurin in a

piece for the Public Leaders Network.

Open data are data sets made available to the public to use and reuse. Those sets may come from

Big Data but they don’t have to.The act of opening data is like extending an invitation to anyone

to freely take the data and turn it into something useful.

Attributes of Open Data:Open Data Principles have varied with time and by the defining

bodies. Let’s have a look at the principles proposed by the Open Government Working Group

1. Complete: All public data is made available. Public data is data that is not subject to valid

privacy, security or privilege limitations.

2. Primary: Data is as collected at the source, with the highest possible level of granularity, not

in aggregate or modified forms.

3. Timely: Data is made available as quickly as necessary to preserve the value of the data.

4. Accessible: Data is available to the widest range of users for the widest range of purposes.

5. Machine processable: Data is reasonably structured to allow automated processing.

6. Non-discriminatory: Data is available to anyone, with no requirement of registration.

7. Non-proprietary: Data is available in a format over which no entity has exclusive control.

8. License-free: Data is not subject to any copyright, patent, trademark or trade secret regulation.

Reasonable privacy, security and privilege restrictions may be allowed.

Sources of Open Data: Social networks, Web server logs, Traffic flow sensors, Satellite

imagery, etc.

Open Data Application Domains:Healthcare, The public sector, Retail,Manufacturing,

Personal-location data, Finance, etc.

Sources:

https://public.resource.org

http://www.paristechreview.com

http://smartcitiescouncil.com

http://opengovdata.org/

Wael Youssef is Managing Consultant with 15 years of experience in the telecom

industry with a proven track - record of directing large and complex projects.

Provides comprehensive consultancy services and support Orange within the

Technology Strategy & Architecture division, addressing public and private sector

client needs surrounding ICT strategy, service management, architecture and other

enterprise improvement initiatives.