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Database Systems for Big Data Storage and Retrieval

Database Systems for Big Data Storage and Retrieval

Venkat Gudivada, Amy Apon, Dhana L. Rao
Copyright: © 2018 |Pages: 25
ISBN13: 9781522531425|ISBN10: 1522531424|EISBN13: 9781522531432
DOI: 10.4018/978-1-5225-3142-5.ch003
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MLA

Gudivada, Venkat, et al. "Database Systems for Big Data Storage and Retrieval." Handbook of Research on Big Data Storage and Visualization Techniques, edited by Richard S. Segall and Jeffrey S. Cook, IGI Global, 2018, pp. 76-100. https://doi.org/10.4018/978-1-5225-3142-5.ch003

APA

Gudivada, V., Apon, A., & Rao, D. L. (2018). Database Systems for Big Data Storage and Retrieval. In R. Segall & J. Cook (Eds.), Handbook of Research on Big Data Storage and Visualization Techniques (pp. 76-100). IGI Global. https://doi.org/10.4018/978-1-5225-3142-5.ch003

Chicago

Gudivada, Venkat, Amy Apon, and Dhana L. Rao. "Database Systems for Big Data Storage and Retrieval." In Handbook of Research on Big Data Storage and Visualization Techniques, edited by Richard S. Segall and Jeffrey S. Cook, 76-100. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3142-5.ch003

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Abstract

Special needs of Big Data applications have ushered in several new classes of systems for data storage and retrieval. Each class targets the needs of a category of Big Data application. These systems differ greatly in their data models and system architecture, approaches used for high availability and scalability, query languages and client interfaces provided. This chapter begins with a description of the emergence of Big Data and data management requirements of Big Data applications. Several new classes of database management systems have emerged recently to address the needs of Big Data applications. NoSQL is an umbrella term used to refer to these systems. Next, a taxonomy for NoSQL systems is developed and several NoSQL systems are classified under this taxonomy. Characteristics of representative systems in each class are also discussed. The chapter concludes by indicating the emerging trends of NoSQL systems and research issues.

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