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Data Management—Relational Database Systems (RDBMS)

In: Essentials of Business Analytics

Author

Listed:
  • Hemanth Kumar Dasararaju

    (Indian School of Business)

  • Peeyush Taori

    (London Business School)

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.

Suggested Citation

  • Hemanth Kumar Dasararaju & Peeyush Taori, 2019. "Data Management—Relational Database Systems (RDBMS)," International Series in Operations Research & Management Science, in: Bhimasankaram Pochiraju & Sridhar Seshadri (ed.), Essentials of Business Analytics, chapter 0, pages 41-69, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-68837-4_3
    DOI: 10.1007/978-3-319-68837-4_3
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