Master Database Management in Full Stack Development: Top Course in Dehradun

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Introduction to Database Management
What is Database Management?
Key Components
Database Management refers to the secure and
efficient handling of data using a DBMS.
Data storage, retrieval, security, integrity, and
backup recovery are essential aspects.
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Types of Databases
Relational Databases (RDBMS)
NoSQL Databases
Non-relational, flexible schema structure for
large-scale, unstructured data.
Data stored in tables with rows and columns,
using SQL for querying.
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Importance of Databases in Full Stack Development
Data Storage Retrieval
Dynamic Applications
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Web applications store user data and provide
functionality through database interaction.
Databases enable developers to build dynamic,
data-driven applications.
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Key Concepts in Database Management
Normalization
ACID Properties
SQL Queries
Organizing data to reduce redundancy and improve
integrity.
Atomicity, Consistency, Isolation, and Durability
ensure data integrity.
SQL is the standard language for managing
relational databases.
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Introduction to Data Structures Object Modeling
Data Structures
Object-Oriented Modeling
Efficient ways of organizing and storing data for
optimized backend logic.
A programming paradigm that uses objects and
classes for data model design.
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DSOM in Full Stack Development
Data Structures
Data structures like arrays, linked lists, trees,
and graphs are used in database and application
logic.
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Object-Oriented Modeling
Helps in designing systems where objects
represent database entities and interact with
each other and the database.
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Database Design
Entities Relationships
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Mapping Objects to Tables
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Benefits of DSOM
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Advanced Data Structures
Hash Tables
Used for quick data retrieval and indexing.
Graphs
Used for modeling complex relationships.
Trees
Used for hierarchical data.
Priority Queues
Used in task scheduling or job prioritization.