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Data Base Management System , one of the must have Skill for IT Careers

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Data Base Management System , one of the must have Skill for IT Careers

DBMS

How Data Base Management System Works Internally (Behind the Scenes)
Storage Engine
  • DBMS stores data in pages/blocks (usually 4KB–16KB)
  • Pages are grouped into files
  • Data is NOT read row-by-row from disk → pages are loaded into buffer cache (RAM)

Example:
Even if you request 1 row, DBMS loads the entire page containing it.

Indexing – The Backbone of Fast Queries
Types of Indexes
Index Type Used For
B-Tree Range queries, sorting
Hash Index Equality search (=)
Bitmap Index Low-cardinality columns
Composite Index Multiple columns
Clustered Index Physical order of data
Non-Clustered Index Logical pointers

 Poor indexing = slow database, even with good hardware.

Query Optimization & Execution

When you run:

SWLECT *FROM Students WHERE marks > 80;
DBMS does:
  1. Parsing → checks syntax
  2. Optimization → finds cheapest execution plan
  3. Execution → retrieves data
 Cost-Based Optimizer (CBO)

Chooses best plan based on:

  • Table size
  • Index availability
  • Statistics
  • Join methods

Same query → different execution plans possible.

Transactions & Concurrency Control
Problems Data Base Management System Solves
  • Dirty Read
  • Lost Update
  • Phantom Read
  • Non-Repeatable Read
 Isolation Levels
Level Guarantees
Read Uncommitted Fast but unsafe
Read Committed Balanced
Repeatable Read Strong
Serializable Safest

 Banks use Serializable or Repeatable Read.

ACID vs BASE (Modern DBMS Comparison)
 ACID (Traditional DBMS)
  • Atomicity
  • Consistency
  • Isolation
  • Durability

Used in:

  • Banking
  • Airline reservations
  • ERP systems
 BASE (NoSQL Systems)
  • Basically Available
  • Soft state
  • Eventually consistent

Used in:

  • Social media
  • Big data systems
  • Real-time analytics

Choice depends on accuracy vs speed.

Security in DBMS
 Security Mechanisms
  • Authentication (users, roles)
  • Authorization (GRANT / REVOKE)
  • Encryption (data at rest & in transit)
  • Auditing & logging

SQL Injection attacks occur due to poor DBMS usage, not DBMS weakness.

Backup, Recovery & Fault Tolerance
 Types of Backup
  • Full backup
  • Incremental backup
  • Differential backup
 Recovery Techniques
  • Log-based recovery
  • Checkpoints
  • Shadow paging

Transaction logs are more important than data files.

Distributed DBMS & Cloud Databases
 Concepts
  • Data replication
  • Sharding
  • CAP theorem
  • Distributed transactions
 Examples
  • Google Spanner
  • Amazon Aurora
  • CockroachDB

 Modern DBMS must handle millions of users concurrently.

DBMS Performance Tuning

 Key Factors
  • Proper indexing
  • Query optimization
  • Normalization vs denormalization
  • Memory configuration
  • Partitioning tables

90% performance issues = bad queries, not hardware.

DBMS Trends (Industry-Level)

  • Autonomous databases (AI-driven)
  • In-memory databases
  • HTAP (Hybrid Transaction + Analytics)
  • Multi-model DBMS
  • Serverless databases.
Data Base Management System , one of the must have Skill for IT Careers
A Data Base Management System (DBMS) is software that allows users to store, retrieve, manage, and manipulate data efficiently and securely. It organizes data in a structured way, reduces redundancy, and ensures data consistency, integrity, and security. DBMS supports multiple users, handles transactions, provides backup and recovery, and improves performance through indexing and query optimization. It is widely used in applications like banking, education, e-commerce, and healthcare.

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