×

Courses

Chapters

>
<

DBMS

DBMS Need | CrackEase

DBMS Need

Why DBMS is needed illustration

File management systems were an early mechanism for storing data on secondary devices. In today's digital world, terabytes of data must be stored in an organized way that supports security and sub-second retrieval.

Traditional file systems have limited storage and processing features, which leads to problems such as weak security, poor integrity, inefficient storage management, data duplication, and inconsistency.

Needs

1. Data retrieval

With flat files you often need custom applications written in high-level languages to parse and retrieve data. DBMS provide query languages (e.g., SQL) and indexing so data can be located and returned quickly and reliably.

2. Data redundancy

Flat file systems commonly create duplicate copies of data for backups or distributed storage. When one copy is updated and others are not, inconsistency arises. DBMS reduce redundancy through normalization and enforce consistency via transactions and integrity constraints.

  • DBMS maintain consistent data using transactional rules and recovery mechanisms.
  • Transactions follow the ACID properties: Atomicity, Consistency, Isolation, Durability.
  • Normalization techniques help eliminate unnecessary duplication and keep data consistent.
Data redundancy illustration
Data integrity illustration
Data integrity and security

3. Data integrity

Data integrity ensures that only valid, required data is stored. DBMS enforce integrity using constraints such as primary keys, foreign keys, unique constraints and check constraints so invalid data is rejected at insert/update time.

4. Data security

Traditional file systems typically lack robust authentication and authorization. DBMS provide multi-level security controls (user accounts, roles, privileges), encryption and auditing to protect sensitive data.

5. Data indexing

To enable fast retrieval, DBMS use indexes (B-trees, hash indexes, etc.) that allow quick lookup of rows by key values. Flat files generally lack built-in indexing and must scan records sequentially, which is much slower.

Indexing uniquely identifies and organizes references to data using efficient data structures so queries return results quickly.

Footer Content | CrackEase
→
←