Disadvantages of file system data management

  1. Data redundancy and inconsistency.
  2. Integrity Problems.
  3. Security Problems
  4. Difficulty in accessing data.
  5. Data isolation
  6. Limited Data Sharing
  7. Atomicity Problems
1) Data redundancy and inconsistency:

Data redundancy means duplication of data and inconsistency means that the duplicated values are different.

2) Integrity problems:

Data integrity means that the data values in the data base should be accurate in the sense that the value must satisfy some rules.

3) Security Problem:

Data security means prevention of data accession by unauthorized users.

4) Difficulty in accessing data:

Difficulty in accessing data arises whenever there is no application program for a specific task.

5) Data isolation:

This problem arises due to the scattering of data in various files with various formats. Due to the above disadvantages of the earlier data processing system, the necessity for an effective data processing system arises. Only at that time the concept of DBMS emerges for the rescue of a large number of organizations.

More topics from DBMS to read:


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A list of Video lectures

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Principles of Programming Languages ↓ 👆
Principles of Programming Languages
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Previous years solved papers:
A list of Video lectures References:
  1. Sebesta,”Concept of programming Language”, Pearson Edu 
  2. Louden, “Programming Languages: Principles & Practices” , Cengage Learning 
  3. Tucker, “Programming Languages: Principles and paradigms “, Tata McGraw –Hill. 
  4. E Horowitz, "Programming Languages", 2nd Edition, Addison Wesley

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    Computer Organization and Architecture 

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    1. William stalling ,“Computer Architecture and Organization” PHI
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    1. Andrew S. Tanenbaum, David J. Wetherall, “Computer Networks” Pearson Education.
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    3. KavehPahlavan, Prashant Krishnamurthy, “Networking Fundamentals”, Wiley Publication.
    4. Ying-Dar Lin, Ren-Hung Hwang, Fred Baker, “Computer Networks: An Open Source Approach”, McGraw Hill.