Construction of Internet of things customer data platform based on OLAP technology

Yue GUO; Yue LONG; Xun ZHANG; Yang QU

doi:10.11959/j.issn.2096-3750.2020.00141

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Construction of Internet of things customer data platform based on OLAP technology

Service and Application | 更新时间：2024-06-05

- Construction of Internet of things customer data platform based on OLAP technology
- Chinese Journal on Internet of Things Vol. 4, Issue 2, Pages: 122-128(2020)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2020.00141
  CLC： TP39
- Published：30 June 2020，
  
  Published Online：2020-06，
- 稿件说明：
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YUE GUO, YUE LONG, XUN ZHANG, et al. Construction of Internet of things customer data platform based on OLAP technology. [J]. Chinese journal on internet of things, 2020, 4(2): 122-128.
DOI：

YUE GUO, YUE LONG, XUN ZHANG, et al. Construction of Internet of things customer data platform based on OLAP technology. [J]. Chinese journal on internet of things, 2020, 4(2): 122-128. DOI： 10.11959/j.issn.2096-3750.2020.00141.

摘要

现阶段物联网客户业务飞速发展，行业中逐渐暴露出客户运营能力较弱的管理问题，这导致客户分析处理（AP

analytical processing）值普遍较低、盈利低、运营成本高，因此，急需增强物联网海量数据分析能力，为业务发展提供数据指引。以提升客户价值为目标，利用大数据技术、多维分析技术、海量查询技术，对物联网企业客户进行画像，实现运营服务精细化、高效化的客户运营平台构建，从技术实现方面探讨了如何进行数据运营平台的构建。

Abstract

At this stage

the Internet of things (IoT) customer business is developing rapidly.The management problems of weak customer operation ability have gradually exposed in the IoT industry

resulting in the low AP (analytical processing) value of customers

the low profitability and high operating cost.Therefore

it is urgent to enhance the massive data analysis capabilities of the IoT to provide data guidance for business development.To improve the customer value

big data technology

multi-dimensional analysis technology and massive query technology were used to make portraits of IoT enterprise customers

and realize the construction of the customer data platform with refined and efficient operation services.It was introduced how to construct the data operation platform from the aspect of technology implementation.

关键词

大数据物联网客户运营联机分析处理

Keywords

big dataIoT customer operationon line analytical processing (OLAP)

references

丁飞 . 物联网开放平台[M]. 北京: 电子工业出版社, 2018.

DING F . Internet of things open platform[M]. Beijing: Publishing House of Electronics IndustryPress, 2018.

SANDY R, URI L, SEAN O,等 . Spark高级数据分析[M]. 北京: 人民邮电出版社, 2017.

SANDY R, URI L, SEAN O ,et al. Advanced analysis with Spark[M]. Beijing: Posts and Telecom PressPress, 2017.

ISMAIL B I, GOORTANI E M, KARIM M B A ,et al. Evaluation of docker as edge computing platform[C]// IEEE Conference on Open Systems. IEEE, 2015: 130-135.

TAKASE W, NAKAMURA T, WATASE Y ,et al. A solution for secure use of Kibana and Elasticsearch in multi-user environment[J]. arXiv:1706.10040, 2017

苏敏坚 . 大数据是运营商复兴的“起搏器”[J]. 中国电信业, 2017(4): 40-41.

SU M J . Big data is the pacemaker of operators’ renaissance[J]. China Telecommunication Trade, 2017(4): 40-41.

范铭 . 运营商进入调速换挡关键时期大数据创造新机遇[J]. 通信世界, 2017(16):54.

FAN M . Operators enter the key period of speed shift and big data create new opportunities[J]. Communications World, 2017(16):54.

JD-Presto研发团队.Presto技术内幕[M]. 北京: 电子工业出版社, 2016.

JD-Presto研发团队. Presto technology insider[M]. Beijing: Publishing House of Electronics IndustryPress, 2016.

蒋守壮 . 基于 Apache Kylin 构建大数据分析平台[M]. 北京: 清华大学出版社, 2017.

JIANG S Z . Building a big data analytics platform based on Apache Kylin[M]. Beijing: Tsinghua University PressPress, 2017.

Apache Kylin核心团队. Apache Kylin权威指南[M]. 北京: 机械工业出版社, 2007.

Apache Kylin Core Team. Apache Kylin authoritative guide[M]. Beijing: China Machine PressPress, 2007.

王建民 . 工业大数据技术综述[J]. 大数据, 2017,3(6): 3-14.

WANG J M . Survey on industrial big data[J]. Big Data Research, 2017,3(6): 3-14.

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