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What is Database Normalization

Chapter 3
Handbook of Research on Big Data Storage and Visualization Techniques
Designing tables in a relational database in a way to eliminate insertion, update and deletion anomalies. It increases the number of joins required to process a query.
Published in Chapter:
Database Systems for Big Data Storage and Retrieval
Venkat Gudivada (East Carolina University, USA), Amy Apon (Clemson University, USA), and Dhana L. Rao (East Carolina University, USA)
Copyright: © 2018 |Pages: 25
DOI: 10.4018/978-1-5225-3142-5.ch003
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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