Research on Tax Collection and Administration on Big Data Analysis

Project Code :TCMAJA577

Objective

The objective of this project is, with the rapid development of internet technology, efficiency of information collection and dissemination has increased rapidly, and human society has entered the era of big data.

Abstract

In the research on tax collection and administration based on big data project, Utilizing big data is the main trend in tax collection and administration. In the era of big data, to enhance application effect of big data in tax collection and administration, we must try our best to excavate big data. 

First, the work mode of tax collection and administration needs to be changed, and management force of taxation work process should be strengthened. Then, according to the current status of enterprise development, a comprehensive big data application system should be formulated, to allow enterprise personnel to grasp various tax-related information fully. Constructing a set of tax management systems that are compatible with the development of the enterprise, and paying attention to the use and research, quality and efficiency of tax administration can be steadily improved.

Keyword: Big Data, Tax Collection, Administration, Collection Department.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W SYSTEM SPECIFICATIONS:

  • Processor: I3/Intel Processor
  • RAM: 8 GB (min)
  • Hard Disk: 160 GB
  • Key Board: Standard Windows Keyboard
  • Mouse: Two or Three Button Mouse
  • Monitor: SVGA

 S/W SYSTEM SPECIFICATIONS:

  • Operating System: Windows 7 or 8 32 bit                
  • Backend coding: Java
  • Tool: Virtual Box
  • Environment: Ubuntu
  • Technology: Hadoop

Learning Outcomes

  • About big data.
  • About hadoop.
  • About virtual machine.
  • About HDFS.
  • About big data analysis.
  • About control panel(Terminal).
  • About how the big data generating.
  • About big data characteristics.
  • About hadoop ecosystem and components.
  • About Map Reduce.
  • About Apache.
  • About hive.
  • About HBase.
  • About sqoop.
  • About Hadoop commands.
  • About name node.
  • About data node.
  • About resource manager.
  • About node manager.
  • About jps.
  • About mapper class.
  • About reducer class.
  • About driver class.
  • About eclipse.
  • About how to import the project.
  • About how to create the project.
  • About how to generate the jar file.
  • About map reduce process.
  • About how to get the information.
  • About cloud storage.
  • About manage the tax collection data.
  • About process the data.
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Deployment.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.
    • Thesis writing skills.

Demo Video

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