Big data applications in operations/supply-chain management: A literature review

R Addo-Tenkorang, PT Helo - Computers & Industrial Engineering, 2016 - Elsevier
Purpose Big data is increasingly becoming a major organizational enterprise force to reckon
with in this global era for all sizes of industries. It is a trending new enterprise system or …

A survey on indexing techniques for big data: taxonomy and performance evaluation

A Gani, A Siddiqa, S Shamshirband… - Knowledge and information …, 2016 - Springer
The explosive growth in volume, velocity, and diversity of data produced by mobile devices
and cloud applications has contributed to the abundance of data or 'big data.'Available …

[HTML][HTML] Critical analysis of Big Data challenges and analytical methods

U Sivarajah, MM Kamal, Z Irani… - Journal of business …, 2017 - Elsevier
Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making
process, have recently attracted substantial interest from both academics and practitioners …

A survey on big data market: Pricing, trading and protection

F Liang, W Yu, D An, Q Yang, X Fu, W Zhao - Ieee Access, 2018 - ieeexplore.ieee.org
Big data is considered to be the key to unlocking the next great waves of growth in
productivity. The amount of collected data in our world has been exploding due to a number …

Performance prediction for apache spark platform

K Wang, MMH Khan - … on Cyberspace Safety and Security, and …, 2015 - ieeexplore.ieee.org
Apache Spark is an open source distributed data processing platform that uses distributed
memory abstraction to process large volume of data efficiently. However, performance of a …

[PDF][PDF] Critical data challenges in measuring the performance of sustainable development goals: Solutions and the role of big-data analytics

M Nilashi, O Keng Boon, G Tan, B Lin… - Harvard Data Science …, 2023 - assets.pubpub.org
In 2015, 193 member states of the UN adopted a 15-year sustainable plan—the 2030
Agenda—to work toward achieving the Sustainable Development Goals (SDGs) by 2030 …

Orchestrating big data analytics capability for sustainability: A study of air pollution management in China

D Zhang, SL Pan, J Yu, W Liu - Information & Management, 2022 - Elsevier
Under rapid urbanization, cities are facing many societal challenges that impede
sustainability. Big data analytics (BDA) gives cities unprecedented potential to address …

[HTML][HTML] Adoption of big data analytics for energy pipeline condition assessment

M Hussain, T Zhang, M Seema - … Journal of Pressure Vessels and Piping, 2023 - Elsevier
Due to complexity, the oil and gas industry employs various sensors to collect data for
analysis to maintain the safety and integrity of pipelines and associated infrastructure. There …

CryptDICE: Distributed data protection system for secure cloud data storage and computation

A Rafique, D Van Landuyt, EH Beni, B Lagaisse… - Information Systems, 2021 - Elsevier
Cloud storage allows organizations to store data at remote sites of service providers.
Although cloud storage services offer numerous benefits, they also involve new risks and …

[图书][B] Big data for qualitative research

KA Mills - 2019 - library.oapen.org
Big Data for Qualitative Research covers everything small data researchers need to know
about big data, from the potentials of big data analytics to its methodological and ethical …