Research on Big Data Computing Model based on Spark and Big Data Application

Abstract Under the background of the information age, with the rapid development of cloud computing and Internet of things technology, all kinds of data information grow rapidly. How to transform massive data information into effective resources is the key point of big data technology research. This paper introduces the inherent laws of big data mining technology, determine and use valuable information data, which can open a new thinking and cognitive perspective, and it is of great significance to the development of the social economy. It can be concluded that the big data ecosystem based on spark platform and application of big data still have a lot of room for development, but there are also some problems. Nowadays, as a low latency cluster distributed computing system for big data collection, spark platform can provide more support for improving the efficiency of big data mining, but some of its methods are not perfect.

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Application Analysis of Big Data Mining Based on Internet of Things Technology

10.1007/978-3-030-89511-2_33 ◽

2021 ◽

pp. 263-269

Author(s):

Ziheng Jin

Keyword(s):

Data Mining ◽

Big Data ◽

Internet Of Things ◽

Big Data Mining ◽

Application Analysis ◽

Internet Of Things Technology

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Optimization of the Marketing Management System Based on Cloud Computing and Big Data

Complexity ◽

10.1155/2021/9924302 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Lin Zhang

Keyword(s):

Data Mining ◽

Big Data ◽

Rapid Development ◽

Social Economy ◽

Mobile Internet ◽

Attribute Selection ◽

Marketing System ◽

Mining Technology ◽

Internet Applications ◽

Attribute Analysis

With the rapid development of the Internet information age, social networks, mobile Internet, and e-commerce have expanded the scope of Internet applications. The “big data” era is a challenge and chance for companies and has a great impact on social economy, politics, culture, and people’s lives. An accurate marketing system is developed based on J2EE, and the architecture is selected from the user layer, business logic layer, and data layer and the B/S3 layer application (three-tier application), including three layers of crip-dm and semma. And, other process methods are used. Data-mining-based marketing system information solutions consist of several parts, such as requirement analysis, design, implementation, and testing. This paper introduces data mining technology to the marketing business based on the practical use and design IT solutions for precision marketing, attribute selection tools, attribute analysis tools, modeling prediction tools, and others. This paper introduces a precision marketing system based on data mining technology. The system passes the actual test and the deployment and the operation of this system are confirmed. The system, which can improve marketing activity, is tested, and the development and operation of this system markedly increase the company’s earnings.

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