Big Data and Cloud Computing: A Survey of the State-of-the-Art and Research Challenges

Georgios Skourletopoulos, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Ciprian Dobre, Spyros Panagiotakis, Evangelos Pallis

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The proliferation of data warehouses and the rise of multimedia, social media and the Internet of Things (IoT) generate an increasing volume of structured, semi-structured and unstructured data. Towards the investigation of these large volumes of data, big data and data analytics have become emerging research fields, attracting the attention of the academia, industry and governments. Researchers, entrepreneurs, decision makers and problem solvers view ‘big data’ as the tool to revolutionize various industries and sectors, such as business, healthcare, retail, research, education and public administration. In this context, this survey chapter presents a review of the current big data research, exploring applications, opportunities and challenges, as well as the state-of-the-art techniques and underlying models that exploit cloud computing technologies, such as the big data-as-a-service (BDaaS) or analytics-as-a-service (AaaS).

Original languageEnglish
Title of host publicationStudies in Big Data
PublisherSpringer Science and Business Media Deutschland GmbH
Pages23-41
Number of pages19
DOIs
Publication statusPublished - 2017
Externally publishedYes

Publication series

NameStudies in Big Data
Volume22
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

Keywords

  • Analytics-as-a-service
  • Big data
  • Big data-as-a-service
  • Business intelligence
  • Cloud computing
  • Cost-benefit analysis model
  • Data analytics
  • Data management
  • Lease storage

Fingerprint

Dive into the research topics of 'Big Data and Cloud Computing: A Survey of the State-of-the-Art and Research Challenges'. Together they form a unique fingerprint.

Cite this