BIG DATA – HOW BIG DATA AFFECTS SMART CITY?

Big data solutions provide administrative controls over large amounts of data, including storage, backup, analysis, and visualization. Big data systems bring efficiency into a complex data infrastructure. In addition, big data solutions enable the use of advanced capabilities in smart cities – Smart City. This includes Internet of Things (IoT) technology, smart sensors, smart traffic, and more.

1. What is a smart city?
Smart cities use sensors and connected devices to collect and analyze data. This data is used to optimize city operations, manage resources, and improve citizens’ daily lives. Smart cities use technology to improve access to public transport, manage traffic, optimize water and electricity supplies, and improve law enforcement services, schools, and schools. school, hospital, etc.

2. How Big Data Affects Smart Cities
Big Data, big data, can have an impact on different areas of the city, including transportation, public security, city budget, etc.

Public Security
Smart cities must create safety for their citizens. Cities can use predictive big data analytics to identify areas that are more likely to be hubs for crime and predict where crime is located. Information such as historical and geographic data helps cities create a much safer environment.

Transportation
Traffic congestion is a big problem in many cities as it can cost cities millions of dollars in revenue. Cities can manage transportation by analyzing data from transport regulators. The analyzed data can uncover patterns that help reduce traffic congestion and help authorities deploy data-driven road optimization.

Cut the cost
Cities invest a lot of money in transforming a city into a smart city. These investments can be for remodeling or renovating. Big data analytics can suggest which areas to convert and which types of conversions. As a result, cities can make dedicated investments in the areas of need.

Sustainable growth

Regular analysis of smart city developments allows city officials to stay updated on necessary changes. Continuous updates are a key growth driver of sustainability as they provide a clear idea of ​​the developments needed. Data plays an important role in determining the development outcome of a smart city.

3. Where smart cities store their data
Smart cities need large amounts of data to be stored and accessed in real time in order to function properly:

Smart car data: Autonomous and intelligent cars are increasingly integrated with mobility systems. Thanks to this, the cars can communicate with each other and with the cities. This communication can reduce congestion, prevent problems on the road, and improve navigability.
Data from camera systems: Surveillance by cameras can help regulate traffic, improve public security, build smart lighting systems, and serve as a crime detection tool.
Environmental sensor data: Air quality sensors enable cities to find and take action against pollutants, locate green areas of low air quality, and provide warn people about air quality.

Smart cities can store their data in three main locations:

Cloud storage – Cloud storage
Smart cities require large amounts of data for analysis purposes. Cloud data systems use solid-state drives in their data centers, eliminating data redundancy and encrypting data transfers. Cloud-based solutions often have more flexible payment options than on-premises data centers.

Edge Computing
Edge computing allows you to process data near the source. Edge computing can be cheaper than transmitting data to a remote storage location and then to the relevant city authorities. Computational functions at the edge such as traffic management are being developed using artificial intelligence (AI) in some cities. AI traffic management uses intelligent automation to detect traffic congestion and accidents and provide faster response to different conditions.

Hybrid storage
The hybrid data storage system combines the benefits of cloud and edge storage. Combined data storage enables cities to make new decisions based on real-time warnings about conditions as well as rich data sets.

Big data plays an important role in smart city. Cities can process data from IoT devices and sensors to recognize patterns and needs. In-depth analytics can reduce the number of accidents and road congestion and help drivers find parking. Data can also reduce crime, improve smart city lighting, and improve water and energy systems.