Smart Cities: The Next Frontier of Data Management

It is projected that by 2050 over 70% of the world’s population will live in urban areas. Similar projections show a 25% increase in total population to reach almost 9.9 Billion meaning that almost 7 Billion people will live in urban areas in the next 30 years. As these urban areas grow so will the infrastructure systems that are needed to support them. These modern systems are often part of a grander smart city initiative, collecting everything from traffic data to water usage.

smart city is an urban area that uses different types of electronic methods and sensors to collect data. Insights gained from that data are used to manage assets, resources and services efficiently; in return, that data is used to improve the operations across the city.

https://en.wikipedia.org/wiki/Smart_city
File:Smart City.jpg - Wikimedia Commons

Smart cities merge technological and social aspects of urban life while attempting to make the environment safer and more enjoyable for everyone that lives there, but the question is how….

Imagine if the heavily trafficked thoroughfare through your city was able to monitor what cars were driving on it, what the weather conditions were like, and even monitor bicycle usage. You could use this data to determine if new bike lanes were needed to reduce traffic congestion and if they should be temporary to account for winter months. As a business you could get demographic data on drivers and determine if your local shop is servicing the right clientele.

All of this is a result of the data points that are collected. This data is going to continue to grow and impact the global data sprawl. It is projected that we will have 175 terrabytes of data by 2025 growing at a 61% CAGR. If we use the same growth rate out to 2050 we will have 27,000,000 terrabytes of data in 2050.

With exponential data growth, Smart Cities are just one of the area that need to be addressed to reduce data management and storage costs. How do we address it? Well that remains to be seen, but option like data tiering and archival will play a large role along with tried and true technologies like deduplication and compression.

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