Smart City Gnosys
Smart city article details
| Title | Big Data In Smart Ecosystems: Trends, Challenges And Future Prospectus |
|---|---|
| ID_Doc | 12100 |
| Authors | Rouf N.; Saleem S.; Malik M.B.; Dar K.B. |
| Year | 2023 |
| Published | Intelligent Multimedia Signal Processing for Smart Ecosystems |
| DOI | http://dx.doi.org/10.1007/978-3-031-34873-0_2 |
| Abstract | Technology is transmuting the world. The rapid use of mobile devices and explosion of social media has given rise to the storm that is engulfing the world with data. Due to independent and excessive use of technology, the speed at which data is growing exceeds Moore's Law. However, there are highly beneficial values hidden in such copious amount of complex data called as big data. Conventional techniques and platforms are ineffectual in analysing and storing the big data. However, storage of the big data is the first practical step for big data analytics. The literature available so far does not include an in-depth analysis of the storage platforms available. Nowadays, NoSQL databases, In-Memory and Cloud databases are some of the industry standards in terms of offering big data storage solutions. This chapter presents an overview of big data and its characteristics and provides insights into its framework and platforms. It surveys applications of big data analytics in various areas such as Smart city, Intelligent Transport system, Smart grids, and smart healthcare. Furthermore, technologies for storage, analysis, and security of big data are also covered. Lastly, this chapter discusses various challenges associated in handling big data. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. |
| Author Keywords | 6v's; Big data; Big data analytics; Security issues; Smart services |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
47019  | 0.872 | Al-Ali A.R.; Gupta R.; Zualkernan I.; Das S.K. | Role Of Iot Technologies In Big Data Management Systems: A Review And Smart Grid Case Study | Pervasive and Mobile Computing, 100 (2024) |
| 12131 | 0.87 | Arfat Y.; Usman S.; Mehmood R.; Katib I. | Big Data Tools, Technologies, And Applications: A Survey | EAI/Springer Innovations in Communication and Computing (2020) |
| 17335 | 0.867 | Chinnici M.; Pop F.; Negru C. | Data Science And Big Data Analytics In Smart Environments | Data Science and Big Data Analytics in Smart Environments (2021) |
| 25760 | 0.865 | Gupta S.K.; Yadav S.K.; Soni S.K. | Exploring The Power Of Big Data For Iot: A Comprehensive Review | 2023 International Conference on IoT, Communication and Automation Technology, ICICAT 2023 (2023) |
| 53139 | 0.863 | Rai A.; Kumar R.; Kumar N.; Fatima S. | Strategies And Tools For Big Data Analytics In Smart City Environments: Algorithms And Data Types | Advances in Electronics, Computer, Physical and Chemical Sciences (2025) |
| 12147 | 0.857 | Okwechime E.; Duncan P.B.; Edgar D.A.; Magnaghi E.; Veglianti E. | Big Data: An Introduction To Data-Driven Decision Making | Lecture Notes in Information Systems and Organisation, 36 (2021) |
| 14452 | 0.853 | Suresh P.; Keerthika P.; Sathiyamoorthi V.; Logeswaran K.; Devi R. M.; Sentamilselvan K.; Sangeetha M.; Sagana C. | Cloud-Based Big Data Analysis Tools And Techniques Towards Sustainable Smart City Services | Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities (2021) |