Big Data Platform for Smart Cities: Building a real-time big data analytics platform for smart cities and setting a joint interoperability strategy.
As governments worldwide aims at becoming smarter like Dubai, Barcelona, Singapore, their ultimate goal is to become percipient, astute, shrewd, and quick. That means that smart city governments need to use emerging technologies like Big Data and Internet of Things to be able to understand their citizens’ affinities in real-time and to use this ability to assess, make decisions, and react either in milliseconds, seconds, minutes, or even days and months. The latency of decisions usually depends on the scale of the problem like an anomaly, hazardous event, or a city wide disaster. To illustrate, if there is a pipeline leakage, modern smart city platforms can detect the threat and automatically shutdown the gas supply to this area. These type of analytics applications are latency-sensitive and needs to be taken in milliseconds.
With all the advanced technologies that can help building big data & IoT platforms for smart cities, we still face challenges to make these platforms realize their full potential. From our experience with clients working on smart city plans, not only privacy and security is a concern to governments, but also interoperability is a main issue. That’s why our ability to unlock data in a way that governmental agencies are able to move it from one system to another in a safe, secure, and confidential manner is a key. When we discuss data in smart cities, we are talking about semi-structured data from sensors, unstructured data from social media or images/videos collected from video surveillance or other shared open data like bus time schedules or city maps. In order to reach full interoperability, we need a joint strategy for both technical and organizational interoperability to be connected and collaborative respectively. Organizational interoperability contains aspects like organizational strategies and policies, laws, business processes, cost, collaborative work while technical interoperability deals with data lineage, semantics, and infrastructure.
Other than setting the right joint strategy, making cities connected for collecting data is just the ﬁrst step towards smart cities. The essential step is being able to build up a scalable real-time big data analytics platform for all the layers between the data sources and applications. Most of the solutions in the market focus on functional requirements and architecture designs at the abstract level.
We will help you build a real big data platform for smart cities which is able to deal with historical data, neartime data, and also real-time data which be integrated with different scales of smart city infrastructures taking into consideration the vast array of big data technologies in the market.