DAY-1 of 35 days SQL
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- เผยแพร่เมื่อ 13 ก.พ. 2024
- DAY-1 of 35 days SQL #sql #plsql #mysql #nosql #sqlinterview #dbms #youtubeshorts #shortsfeed #tech
Hello, friends! We have started a 35-day SQL series where we will cover the entire spectrum of SQL, from basics to advanced topics, in preparation for interviews.
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NoSQL databases are non-relational databases that provide flexible data models and horizontal scalability.
Characteristics:
Schema-less: No fixed schema; data can be stored in various formats (e.g., JSON, key-value pairs).
Highly Scalable: Designed for distributed systems and can handle large amounts of data.
Eventual Consistency: Prioritizes availability and partition tolerance over strict consistency.
Use Cases:
Big data analytics.
Real-time applications.
Dynamic data with varying structures.
Examples: MongoDB, Cassandra, Redis.
PL/SQL is Oracle’s extension to SQL, allowing procedural constructs.
Characteristics:
Procedural Logic: Supports loops, conditions, and exception handling.
Server-Side Scripting: Used for stored procedures, triggers, and functions.
Tight Integration with Oracle: Optimized for Oracle Database.
Use Cases:
Writing business logic.
Data validation.
Complex calculations.
Oracle SQL is the standard SQL language used for querying and managing Oracle databases.
Characteristics:
Relational Model: Organizes data into tables with predefined schemas.
ACID Properties: Ensures data consistency and integrity.
Advanced Features: Supports complex queries, indexing, and optimization.
Use Cases:
Enterprise applications.
Data warehousing.
Large-scale systems.
Key Differences:
NoSQL is schema-less and suitable for dynamic data, while PL/SQL and Oracle SQL follow the relational model.
PL/SQL is specific to Oracle databases, whereas NoSQL databases are more diverse.
Oracle SQL provides advanced features like indexing, transactions, and joins, while NoSQL databases prioritize scalability and flexibility.
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