Full Stack Web Development Advance | 3. Database Management by Abraham | Learn Smarter
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3. Database Management

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Sections

  • 1

    Types Of Databases

    This section introduces the two primary types of databases: relational (SQL) and NoSQL, detailing their structures, advantages, and when to use each type.

    Learning Practice

  • 1.1.1

    Relational Databases (Sql)

    This section covers the fundamentals of relational databases, including their structure, the use of SQL, advantages, and when to choose SQL over NoSQL.

    Learning Practice

  • 1.1.2

    Nosql Databases

    NoSQL databases provide flexibility and scalability, allowing for the storage of unstructured and semi-structured data without a fixed schema.

    Learning Practice

  • 1.1.3

    Which To Choose?

    This section helps developers determine when to use SQL versus NoSQL databases based on data structure and application needs.

    Learning Practice

  • 1.2

    Database Design Principles

    This section discusses foundational principles for effective database design, including normalization, denormalization, and the use of Entity-Relationship Diagrams (ERDs).

    Learning Practice

  • 1.2.1

    Normalization

    Normalization is the method of organizing data in a database to reduce redundancy and improve data integrity.

    Learning Practice

  • 1.2.2

    Denormalization

    Denormalization is the process of merging database tables to improve read performance at the expense of storage and write speed.

    Learning Practice

  • 1.2.3

    Entity-Relationship Diagrams (Erds)

    Entity-Relationship Diagrams (ERDs) are visual representations that illustrate the relationships between entities in a database, crucial for effective database design.

    Learning Practice

  • 1.3

    Connecting Web Applications To Databases

    This section explores the essential methods and best practices for connecting web applications to databases, including the use of Object-Relational Mapping (ORM) and database drivers.

    Learning Practice

  • 1.3.1

    Using Object-Relational Mapping (Orm)

    This section introduces Object-Relational Mapping (ORM) as a technique to simplify interactions with databases in web applications.

    Learning Practice

  • 1.3.2

    Database Drivers

    This section discusses the various database drivers used to connect web applications with databases, focusing on native drivers and their importance in full-stack development.

    Learning Practice

  • 1.3.3

    Database Connections In Full Stack Applications

    This section focuses on how to effectively connect web applications to databases, emphasizing secure and efficient database management.

    Learning Practice

  • 1.4

    Advanced Database Queries

    This section introduces advanced techniques for querying databases, focusing on join operations, aggregate functions, and subqueries.

    Learning Practice

  • 1.4.1

    Join Operations

    Join operations in SQL allow combining records from two or more tables based on related columns.

    Learning Practice

  • 1.4.2

    Aggregate Functions

    Aggregate functions are crucial in SQL for performing calculations on multiple rows of data.

    Learning Practice

  • 1.4.3

    Subqueries

    Subqueries are nested SQL queries within other queries, allowing for complex data retrieval and manipulation.

    Learning Practice

  • 1.5

    Performance Optimization Techniques

    In this section, we explore various techniques to optimize database performance for scalable web applications.

    Learning Practice

  • 1.5.1

    Indexing

    Indexing significantly enhances database query performance by creating data structures for faster searches.

    Learning Practice

  • 1.5.2

    Query Optimization

    Query optimization focuses on improving the efficiency of database queries to enhance application performance.

    Learning Practice

  • 1.5.3

    Caching

    Caching is a technique used to enhance database performance by storing frequently accessed data in memory.

    Learning Practice

  • 1.6

    Securing Databases

    This section covers critical techniques for securing databases against vulnerabilities such as SQL injection and unauthorized access.

    Learning Practice

  • 1.6.1

    Sql Injection Prevention

    SQL Injection is a significant security vulnerability, and understanding the methods to prevent it is crucial for securing databases.

    Learning Practice

  • 1.6.2

    Data Encryption

    Data encryption is crucial for enhancing the security of databases, safeguarding sensitive information both at rest and in transit.

    Learning Practice

  • 1.6.3

    Backup And Recovery

    This section emphasizes the importance of backup and recovery strategies for databases in web applications.

    Learning Practice

References

AFSWD ch3.pdf

Class Notes

Memorization

Revision Tests