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Erschienen in: Cluster Computing 6/2019

23.02.2018

E-commerce big data computing platform system based on distributed computing logistics information

verfasst von: Junmin Hu

Erschienen in: Cluster Computing | Sonderheft 6/2019

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Abstract

E-commerce websites generate a large amount of user behavior data, with the continuous increase of the business volume of e-commerce companies. Enterprises hope to have a deep understanding of each customer through these data and expect to form a learning relationship with customers. Based on this, this paper firstly elaborates the background and significance of the system development, the status quo of related technologies at home and abroad, then carries on the overall design and gives the system realization plan, and finally designs and realizes the big data T station based on distributed real-time computing framework, Enterprises, especially Internet companies, can provide internal data support by building a hierarchical data warehouse infrastructure and real-time data computing technology, and then cluster, divide and predict more relevant data through mathematical statistics and mining algorithms. Each of us is tagged with descriptions to get each of our attributes and hobbies, etc., providing a strong support for the external needs of enterprises and fast data-driven business.

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Metadaten
Titel
E-commerce big data computing platform system based on distributed computing logistics information
verfasst von
Junmin Hu
Publikationsdatum
23.02.2018
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 6/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2074-6

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