The benefits of big data in everyday life are increasingly being felt, one of which is the application of smart cities. Smart city itself is a city development based on distributed database technology so that the city government will find it easier to monitor the state of the area so that it can be more responsive to address community complaints.
In fulfilling the smart city implementation, the need for data is one of the main issues. There is a huge amount of data from various sectors, so big data is needed that is able to analyze, integrate, and work in real time to support smart cities. For more details, see the following article.
Why Smart City Should be Associated with Big Data?
Big Data powers the many technologies smart cities need to run. For example, cities examine how citizens are using utilities to improve public services.
A smart district in Singapore uses sensors to gather data on how many people are waiting at a lift lobby. If the sensors detect more people, the building will dispatch more lift cars.
In Thailand, Phuket uses wristbands to track the locations of tourists going out to sea. This information is used to ensure that visiting divers don’t drift too far from their boats for their safety.
Such tech relies on near real-time data to function, meaning that data needs to be close by. Cities can ensure this by storing their data on the edge near to citizens.
Database Technology Challenges for Smart City Implementation
Bringing data closer to citizens comes with challenges, here are some of the challenges governments often face from GovInsider Asia:
1. The Government Ensures the Technology Runs Properly
A distributed database ensures that data is always available. They replicate data across different regions or zones in the city. If there is a power outage in one area, the technology can fetch data from elsewhere. This ensures that residents don't feel the blackout, making them happy.
<h3>2. Need to Increase Data Capacity</h3>
A city may have X population today, but it may be X plus Y in the future, and of course the data capacity also needs to be increased. Having a distributed database ensures that cities can easily increase their data capacity when needed.
3. Difficulty Processing Big Data
Such unstructured data is difficult for traditional databases to process because it does not follow a fixed format. Traditional databases may need to reformat or filter these data types before analyzing them, which increases the lag time.
YugabyteDB Solutions, Accelerating Distributed Database for Smart City
The emergence of Big Data has added a new aspect to conceptualizing the use of digital technologies in the delivery of public services and in realizing digital governance. Distributed databases like YugabyteDB are able to support both structured and unstructured data. They do so by collecting and storing all incoming data rather than filtering them at the onset.
YugabyteDB has an open source-based SQL database distributed technology that includes products and services to handle distributed or fragmented databases with the best performance, availability, and scalability being critical. Subsequently, smart devices can draw only the data they need from the database with no processing time needed. This way, cities will not lose any time in providing services to citizens.
Read More: Here’s Why You Should Reinvent Your Products with Dell Technologies’ OEM Solutions
Contact Us for More Information About YugabyteDB Solutions
YugabyteDB solutions will provide your database with highly distributed SQL to build integrated applications or databases for your smart cities. Virtus, the official distributor of YugabyteDB in Indonesia, offers all these solutions.
In order to implement a YugabyteDB solutions, Virtus will help you at every step, from consulting to post-sale support. By collaborating with us, you can rest assured that you won't have to waste time and resources figuring out what works and what doesn't when it comes to deploying our solutions. For more information, contact us on marketing@virtusindonesia.com.
Writer: Ary Adianto
Content Writer CTI Group
