Data Management—Relational Database Systems (RDBMS)

Hemanth Kumar Dasararaju and Peeyush Taori ()
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Hemanth Kumar Dasararaju: Indian School of Business
Peeyush Taori: London Business School

Chapter Chapter 3 in Essentials of Business Analytics, 2019, pp 41-69 from Springer

Abstract: Abstract Storage and management of data is a key aspect of data science. Data, simply speaking, is nothing but a collection of facts—a snapshot of the world—that can be stored and processed by computers. In order to process and manipulate data efficiently, it is very important that data is stored in an appropriate form. Data comes in many shapes and forms, and some of the most commonly known forms of data are numbers, text, images, and videos. Depending on the type of data, there exist multiple ways of storage and processing. In this chapter, we focus on one of the most commonly known and pervasive means of data storage—relational database management systems. We provide an introduction using which a reader can perform the essential operations. References for a deeper understanding are given at the end of the chapter.

Date: 2019
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DOI: 10.1007/978-3-319-68837-4_3

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