@incollection{Gudivada2017B,
  author      = {V. Gudivada and A. Apon and D. Rao},
  title       = {Database Systems for Big Data Storage and Retrieval},
  editor      = {Richard Segall and Jeffrey Cook and Neha Gupta},
  booktitle   = {Big Data Storage and Visualization Techniques},
  publisher   = {IDG Global},
  address     = {Boston, MA},
  year        = {2017},
  mon         = jun,
  pages = {in press},
  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 applications. The systems differ greatly in their data models and system architecture, approaches used for high availability and scalability, query languages and client interfaces provided. Currently there are over 250 systems for Big Data storage and retrieval and new ones are introduced frequently.

	This chapter begins with a description of Big Data emergence 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 NoSQL systems emerging trends and research issues.},
}

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