Requirements and Challenges for Big Data Architectures

John Panneerselvam, Lu Liu, Richard Hill

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

1 Citation (Scopus)


Big data analytics encompass the integration of a range of techniques while deploying and using this technology in practice. The processing requirements of big data span across multiple machines with the seamless integration of a large range of subsystems functioning in a distributed fashion. Because we witness the processing requirements of big data exceeding the capabilities of most current machines, building up such a huge processing architecture involves several challenges in terms of both the hardware and software deployments. Understanding the analytics assets across the underpinning core technologies will add additional values, while driving innovation and insights with big data. This chapter is structured to showcase the challenges and requirements of a big data processing infrastructure and also gives an overview of the core technologies and considerations involved in the concept of big data processing.
Original languageEnglish
Title of host publicationApplication of Big Data for National Security
Subtitle of host publicationA Practitioner's Guide to Emerging Technologies
EditorsBabak Akhgar, Gregory B Saathoff, Hamid R Arabnia, Richard Hill, Andrew Staniforth, Petra Saskia Bayerl
Number of pages9
ISBN (Electronic)9780128019733
ISBN (Print)9780128019672
Publication statusPublished - 14 Feb 2015
Externally publishedYes


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