Business Information Architecture for Big Data and Internet of Things

Mohamed Saifeddine Hadj Sassi · Lamia Chaari Fourati · Faïza Ghozzi

10 citations0/0 files storedInternational Wireless Communications and Mobile Computing Conference (IWCMC)

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Big Data and Business Intelligence Big Data Technologies and Applications Knowledge Management and Technology

Abstract

Even though several architectures have been in existence for over a decade, a new research model has to be created in order to solve the requirements (volume, velocity, and variety) and constraints that affect the intelligence of smart environments. Thus, the merge of computing technologies has made the collection of Big Data (BD) possible from the Internet of Things (IoT) devices. Data do not include only the information about the environments, but also the daily changes of information and so forth. In this context, We propose new business information architecture for BD and IoT (BDIoT). The proposed architecture uses context-aware computing and combines the Data WareHhouse (DWH) and Data Lake (DL) in order to benefit computing mechanisms. The BDIoT architecture is validated through use case related to E-health service (Alzheimer's disease).

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References

2011Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data 2015The Challenges of Data Quality and Data Quality Assessment in the Big Data Era 2017Big Data technologies: A survey 2015Business Analytics in the Context of Big Data: A Roadmap for Research 2015Big Data and The Internet of Things: Enterprise Information Architecture for A New Age 2018Big Data Analytics: Analysis of Features and Performance of Big Data Ingestion Tools 2018Requirements Engineering for Data Warehousing

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