Visible to the public A review of data analytics techniques for effective management of big data using IoT

TitleA review of data analytics techniques for effective management of big data using IoT
Publication TypeConference Paper
Year of Publication2020
AuthorsKhalid, O., Senthilananthan, S.
Conference Name2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)
Date Publishednov
KeywordsBig Data, big data security in the cloud, cloud, Data analysis, data analytics, data management, data privacy, Data security, IoT, performance evaluation, pubcrawl, security, System performance, Tools
AbstractIoT and big data are energetic technology of the world for quite a time, and both of these have become a necessity. On the one side where IoT is used to connect different objectives via the internet, the big data means having a large number of the set of structured, unstructured, and semi-structured data. The device used for processing based on the tools used. These tools help provide meaningful information used for effective management in different domains. Some of the commonly faced issues with the inadequate about the technologies are related to data privacy, insufficient analytical capabilities, and this issue is faced by in different domains related to the big data. Data analytics tools help discover the pattern of data and consumer preferences which is resulting in better decision making for the organizations. The major part of this work is to review different types of data analytics techniques for the effective management of big data using IoT. For the effective management of the ABD solution collection, analysis and control are used as the components. Each of the ingredients is described to find an effective way to manage big data. These components are considered and used in the validation criteria. The solution of effective data management is a stage towards the management of big data in IoT devices which will help the user to understand different types of elements of data management.
Citation Keykhalid_review_2020