Big data and cloud computing collectively offer a paradigm shift in the way businesses are now acquiring, using, and managing information technology. This creates the need for every CS student to be equipped with foundational knowledge in this collective paradigm and possess some hands-on experience...
Big data analytics and cloud computing drive insights from unexplored data, enabling managers to make informed decisions.The study explores integrating big data and cloud computing into a business ERP system through a single manufacturing case.The paper evaluates the company's journey, focusing on exis...
One of the key challenges in Big Data for clinical research and healthcare is how to integrate new sources of data, whose relation to disease processes are often not well understood, with multiple classical clinical measurements that have been used by clinicians for years to describe disease proce...
big data, and cloud intelligence. Sensors — key devices in the OT domain — collect data and upload it to the cloud center. The cloud center is part of the ICT domain; it enables big data analytics and a wealth of innovative applications. For...
This paper evolves the multiple aspects of market sentiments and uses the reliable Big data platform Hadoop ecosystem and its services to compute sentiment polarity index. The ABC-LSTM hybrid model is validated with other core and hybrid models with evolutionary algorithms as Differential Evolution (...
Cloud computing has been proved to be a promising solution for managing and processing big data by providing a data center centric and efficient algorithms for managing and organizing the data. One of the cloud system's data sources is Wireless Sensor Networks (WSNs). WSNs present a new way ...
Due to the emergence of information technologies such as cloud computing, big data, blockchain and artificial intelligence, the landscape of the traditional ... L Lu - 《Social Science Electronic Publishing》 被引量: 4发表: 2018年 Opportunities and challenges for fashion companies in the use of...
1) Exploring and crafting big data algorithms 2) Integrating these with cloud applications 3) Optimizing these for production applications at scale The unified engine underlying Spark makes it easy for people to build applications. Zaharia said that most users combine different processing mod...
Architecting Cloud Services for the Digital Me in a Privacy-Aware Environment RobertEikermann, ...AndreasWortmann, inSoftware Architecture for Big Data and the Cloud, 2017 12.7.3Service and Data Integration There are several approaches to service and data integration in the literature. Some focus ...
With big data, particularly combined with analytical tools and processes, increases the performance with which information is processed within an organization and accelerates decision-making processes. Show abstract A decision-making framework for Industry 4.0 technology implementation: The case of FinTech ...