Translating SQL to Spreadsheet: A Survey

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Tasnim T. Hajiwala, Prof. Santosh A. Shinde

Abstract

Spreadsheets are the most popular and conventionally databases in use today. Since Spreadsheets are visual and expression based languages, research into the features of spreadsheets is therefore a highly relevant topic to study. Spreadsheet can be viewed as a Relation Database which contains a sheet and its corresponding information in terms of rows, while in RDBMS each table or say relation also represents its contained information in terms of rows. Each row represents a record which belongs to one or more relation. Spreadsheets uses different formulae to extract required information but it need expert knowledge about the tool and its usage. One can extend the usage of Spreadsheet in any direction as it provides great flexibility in terms of data storage and dependency of stored data. We surveyed some of research which took great attention over Spreadsheets and its applicability in different functional cases, such as Data Visualization, SQL Engines and many more. Our survey focuses on QUERYSHEET, ES-SQL, MDSHEET and PrediCalc [3], [5], [4], [8]. These different researches are motivations to our survey and attraction in Spreadsheets and its functional extensibility.

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How to Cite
, T. T. H. P. S. A. S. (2017). Translating SQL to Spreadsheet: A Survey. International Journal on Recent and Innovation Trends in Computing and Communication, 5(7), 320 –. https://doi.org/10.17762/ijritcc.v5i7.1049
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