Data Storage


Storing data in the right format helps maintain accuracy, consistency and usability. Clear storage structures support reliable analysis and reduce errors, improving how information is accessed and used across systems (Elmasri & Navathe, 2015).

Technique Overview

Data Storage

Data Storage Definition

Data storage is the method used to record and organise information so it can be retrieved and analysed. Storage formats, such as spreadsheets, CSV files and databases, each affect structure, precision and how efficiently data can be used for decision-making (Mansouri, Toosi & Buyya, 2017).

Data Storage Description *

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Business Evidence

Strengths, weaknesses and examples of Data Storage *

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Business Application

Implementation, success factors and measures of Data Storage *

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Professional Tools

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Further Reading

Data Storage web and print resources *

Data Storage references (4 of up to 20) *

  • Abadi, D.J., 2008. Query execution in column-oriented database systems (Doctoral dissertation, Massachusetts Institute of Technology).
  • Elmasri, R. & Navathe, S. (2015). Fundamentals of Database Systems. Pearson.
  • Jagadish, H.V., Gehrke, J., Labrinidis, A., Papakonstantinou, Y., Patel, J.M., Ramakrishnan, R. and Shahabi, C. (2014). Big Data and Its Technical Challenges. Communications of the ACM, [online] 57(7), pp.86–94. doi:https://doi.org/10.1145/2611567
  • Mansouri, Y., Toosi, A.N. and Buyya, R. (2017). Data Storage Management in Cloud Environments. ACM Computing Surveys, 50(6), pp.1–51. doi:https://doi.org/10.1145/3136623

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