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Course Overview | ACID
Advanced Techniques in SQL
course content

Зміст курсу

Advanced Techniques in SQL

Advanced Techniques in SQL

1. ACID
2. Query optimization.Indexes
3. Some Additional Topics

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Course Overview

Advanced Techniques in SQL is a comprehensive exploration of advanced concepts and techniques in Structured Query Language (SQL). This course delves into essential topics such as ACID properties, query optimization techniques, and advanced SQL features including window functions, triggers, Data Control Language (DCL), and NoSQL databases.

Topics Covered

  1. ACID Properties: Understand the foundational principles of ACID (Atomicity, Consistency, Isolation, Durability) properties and their significance in ensuring data integrity and reliability within database transactions;

  2. Query Optimization Techniques: Explore various strategies and best practices for optimizing SQL queries to enhance database performance and efficiency. Learn techniques such as indexing, query plan optimization, and data caching;

  3. Window Functions: Delve into the powerful capabilities of window functions in SQL for performing complex analytical tasks and manipulating data within defined window frames. Understand how window functions can streamline data analysis and reporting processes;

  4. Triggers: Learn about triggers in SQL and their role in automating actions or enforcing business rules based on specified database events. Explore how triggers can enhance database systems' data integrity, auditing, and security;

  5. Data Control Language (DCL): Gain insights into the Data Control Language (DCL) commands in SQL, including GRANT and REVOKE, for managing user privileges and access control within a database environment. Understand the importance of implementing robust security measures to protect sensitive data;

  6. NoSQL Databases: Explore the paradigm of NoSQL (Not Only SQL) databases and their significance in modern database management. Learn about various types of NoSQL databases, their advantages, and use cases compared to traditional relational databases.

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