Research on evaluation System of blockchain consensus algorithm

Hu, Chao; Lu, Gehao

doi:10.1109/iaecst54258.2021.9695722

Cited by 1 publication

(4 citation statements)

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“…• Data application: After building the data warehouse of auto repair, managers can query and analyze the data of the data warehouse in multiple dimensions, use Spark SQL to operate, and then submit it to the Spark cluster for execution [7].…”

Section: Analysis Of Enterprise Indicators Demandmentioning

confidence: 99%

“…Sqoop is used to transfer data between HDFS and traditional database. Its good adaptability makes the data migration still much faster than the mainstream Kettle [7]. Using Sqoop and referring to the strategy of data extraction in ETL (Extract-Transform-Load) model, the tables in different databases in automobile service company are extracted according to the requirements, and the task of database collection is realized.…”

Section: Design and Implementation Of Data Collection Subsystemmentioning

confidence: 99%

“…As shown in Figure 5. as customer path analysis model and customer churn analysis under the customer subject, which is used to provide followup business query, OLAP analysis and data distribution [7].…”

Section: Overall Architecture Design Of Data Warehouse Modelmentioning

confidence: 99%

“…Visualization of decision dataDWS and DWT, which full name are Data Warehouse Service layer and Data Warehouse Topic layer, based on the integration and summary of basic data in the detail data layer to analyze a certain subject domain. They are organized according to the analysis subject, integrate relevant indicators under the subject, and build a subject analysis model, such as customer path analysis model and customer churn analysis under the customer subject, which is used to provide followup business query, OLAP analysis and data distribution[7].…”

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Research on decision support system of automobile service based on distributed data warehouse

2023

Second International Conference on Digital Society and Intelligent Systems (DSInS 2022)

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Aiming at the problems of data isolation in the current auto repair industry and the primitive data analysis and decisionmaking means in company, this paper adopts big data technology and data warehouse technology to analyze the business data of company, designs and implements an automobile service company operation decision support system based on distributed data warehouse. The specific solutions of the system are as follows: (1) According to the results of business analysis and demand investigation, the theme of data warehouse is determined, and the theme-oriented data warehouse model is designed and built; (2) Design and build a big data platform based on Spark computing engine; (3) Build a data transmission module by using big data transmission tools to collect and clean the multi-source heterogeneous data sources of automobile service company; (4) According to the needs of company apply the decision support system, and display the indicators visually for decision makers. The system supports the fusion analysis of different dimensions, which is convenient for decision makers to understand the data from the thematic point of view, which provide decision support for company.

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Section: Analysis Of Enterprise Indicators Demandmentioning

confidence: 99%

Section: Design and Implementation Of Data Collection Subsystemmentioning

confidence: 99%

Section: Overall Architecture Design Of Data Warehouse Modelmentioning

confidence: 99%

mentioning

confidence: 99%

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