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. 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.

1. 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.

2. 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.