Big Data Analysis of Salary Dataset using Hive

Ishan Fafadia
Ishan Fafadia
California State University Los Angeles California State University Los Angeles

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Big Data Analysis of Salary Dataset using Hive

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Abstract

One way to understand how a city government works is by looking at who it employs and how its employees are compensated. This data contains the names, job title, and compensation for San Francisco city employees on an annual basis from 2011 to 2014. The analyzed data will be shown in the form of various charts and graphs with respect to 1. Yearly Mean Pay, 2. Mean Pay by Job Type, 3. Pay based on Base Pay, Overtime Pay, Other Pay and Benefits. As the Salary seeking population grows, the data also grows in size. This becomes a challenge for the traditional RDBMS to manage the huge volumes of data. Hence Salary data Analysis can be made using Hive and Map Reduce algorithms to eliminate the challenges faced by the traditional RDBMS.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ishan Fafadia. 2017. \u201cBig Data Analysis of Salary Dataset using Hive\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 16 (GJCST Volume 16 Issue H4).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
C.2.1
C.2.3
Version of record

v1.2

Issue date
January 25, 2017

Language
en
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Big Data Analysis of Salary Dataset using Hive

Ishan Fafadia
Ishan Fafadia <p>California State University Los Angeles</p>

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