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Transitioning From Relational to Nosql: a Case Study

John McPhillips

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Abstract

Data storage requirements have increased dramatically in recent years due to the explosion in data volumes brought about by the Web 2.0 era. Changing priorities for database system requirements has seen NoSQL databases emerge as an alternative to relational database systems that have dominated this market for over 40 years. Web-enabled, always on applications mean availability of the database system is critically important as any downtime can translate in to unrecoverable financial loss. Cost is also hugely important in this era where credit is difficult to obtain and organizations look to get the maximum from their IT infrastructure from the least amount of investment. The purpose of this study is to evaluate the current NoSQL market and assess its suitability as an alternative to a relational database. The research will look at a case study of a bulletin board application that uses a relational database for data storage and evaluate how such an application can be converted to using a NoSQL database. This case study will also be used to assess the performance attributes of a NoSQL database when implemented on a low cost hardware platform. The findings will provide insight to those who are considering making the switch from a relational database system to a NoSQL database system.

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Data storage requirements have increased dramatically in recent years due to the explosion in data volumes brought about by the Web 2.0 era. Changing priorities for database system requirements has seen NoSQL databases emerge as an alternative to relational database systems that have dominated this market for over 40 years. Web-enabled, always on applications mean availability of the database system is critically important as any downtime can translate in to unrecoverable financial loss. Cost is also hugely important in this era where credit is difficult to obtain and organizations look to get the maximum from their IT infrastructure from the least amount of investment. The purpose of this study is to evaluate the current NoSQL market and assess its suitability as an alternative to a relational database. The research will look at a case study of a bulletin board application that uses a relational database for data storage and evaluate how such an application can be converted to using a NoSQL database. This case study will also be used to assess the performance attributes of a NoSQL database when implemented on a low cost hardware platform. The findings will provide insight to those who are considering making the switch from a relational database system to a NoSQL database system.

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Available abstract

Data storage requirements have increased dramatically in recent years due to the explosion in data volumes brought about by the Web 2.0 era. Changing priorities for database system requirements has seen NoSQL databases emerge as an alternative to relational database systems that have dominated this market for over 40 years. Web-enabled, always on applications mean availability of the database system is critically important as any downtime can translate in to unrecoverable financial loss. Cost is also hugely important in this era where credit is difficult to obtain and organizations look to get the maximum from their IT infrastructure from the least amount of investment. The purpose of this study is to evaluate the current NoSQL market and assess its suitability as an alternative to a relational database. The research will look at a case study of a bulletin board application that uses a relational database for data storage and evaluate how such an application can be converted to using a NoSQL database. This case study will also be used to assess the performance attributes of a NoSQL database when implemented on a low cost hardware platform. The findings will provide insight to those who are considering making the switch from a relational database system to a NoSQL database system.

Key concepts: NoSQL, Database, Relational database, Computer science, Downtime, Relational database management system, Database model, Database design

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