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bigdata in smart cities
1. BENEFITS AND CHALLENGES of big data IN
SMART CITIES
Presented by
R . Uthra,
Final Year (B.C.A.,)
2. CONTENTS
INTRODUCTION
WHAT IS BIG DATA
CHARACTERISTICS OF BIG DATA
SMART CITIES
APPLICATIONS OF BIG DATA IN SMART CITIES
BENEFITS OF BIG DATA
CHALLENGES OF BIG DATA
REQUIREMENTS TO IMPLEMENT BIG DATA
CONCLUSION
REFERENCE
3. INTRODUCTION
Many governments including India are making an
allowance for adopting the smart city concept in their
cities and implementing big data applications that
support smart city components
One of the recent technologies that have a huge
potential to improve smart city services is big data
analytics.
Effective analysis and utilization of big data is a
key factor for success in many business and service
domains, including the smart city domain.
4. WHAT IS BIG DATA ?
Big data is a relative term describing a situation
where the volume, velocity and variety of data exceed
an organization’s storage or compute capacity for
accurate and timely decision making.
An aim to solve new problems or old problems in a
better way
Big Data generates value from the storage and
processing of very large quantities of digital information
that cannot be analyzed with traditional computing
techniques.
5. THREE CHARACTERISTICS
Big Data V3s
Volume
• Data
quantity
• Data at
Rest
Velocity
• Data
Speed
• Data in
Motion
Variety
• Data
Structures
• Data in
Many
Forms
6. SMART CITIES
“The concept of Smart City (SC) as a means to enhance
the life quality of citizen has been gaining increasing
importance in the agendas of policy makers. However, a
shared definition of SC is not available and it is hard to
identify common global trends”
“Connecting the physical infrastructure, the IT
infrastructure, the social infrastructure, and the
business infrastructure to leverage the collective
intelligence of the city”
Smart cities make optimal use of all the interconnected
information available today to better understand
and control its operations and optimize the use
of limited resources – I.B.M
7. THE NEED FOR SMART CITIES
Growing population
According to Frost and Sullivan, 60% of the world’s
population is expected to live in urban environments
by 2025.
Resources management (water and energy use)
Global warming (carbon emissions)
Tighter city budgets
Aging infrastructures
10. CHALLENGES OF BIG DATA IN SMART CITIES
Data and information Sharing
Data sources and characteristics
Data Quality
Security and privacy
Cost
Smart City Population
11. REQUIREMENTS TO IMPLEMENT BIG DATA
Big Data Management
Big Data Processing Platforms
Smart network infrastructure
Advanced Algorithms
Open Standard Technology
Security and Privacy
Citizen Awareness
Government Role
12. CONCLUSION
There is a huge potential for using big data to
address many of the issues involved in smart cities
using analytics for deeper insights and better
decision making practices.
Smart city will improve governance,enhance the
economic standing of the city, improve the quality of
life of citizens, and create a environmentally
friendly and sustainable infrastructures.
With all success factors in place and better
understanding of the concepts, making a city
smart will be possible.
13. REFERENCES
[1] Kitchin R. The real-time city? Big data and smart urbanism.
GeoJournal. 2014; 79(1):1–14.CrossRef
[2] Townsend IS 2013. Smart cities: big data, civic hackers and
the quest for a new utopia. WW Norton & Company.
[3] Batty M. Big data, smart cities and city planning. Dialogues
Hum Geog. 2013; 3(3):274–9.MathSciNetCrossRef
[4] Al-Hader M, Rodzi A. The smart city infrastructure development &
monitoring. Theor Empir Res Urban Manage. 2009; 4(2):87–94.