Databases
1 Introduction to Databases
1-1 Definition of Databases
1-2 Importance of Databases in Modern Applications
1-3 Types of Databases
1-3 1 Relational Databases
1-3 2 NoSQL Databases
1-3 3 Object-Oriented Databases
1-3 4 Graph Databases
1-4 Database Management Systems (DBMS)
1-4 1 Functions of a DBMS
1-4 2 Popular DBMS Software
1-5 Database Architecture
1-5 1 Centralized vs Distributed Databases
1-5 2 Client-Server Architecture
1-5 3 Cloud-Based Databases
2 Relational Database Concepts
2-1 Introduction to Relational Databases
2-2 Tables, Rows, and Columns
2-3 Keys in Relational Databases
2-3 1 Primary Key
2-3 2 Foreign Key
2-3 3 Composite Key
2-4 Relationships between Tables
2-4 1 One-to-One
2-4 2 One-to-Many
2-4 3 Many-to-Many
2-5 Normalization
2-5 1 First Normal Form (1NF)
2-5 2 Second Normal Form (2NF)
2-5 3 Third Normal Form (3NF)
2-5 4 Boyce-Codd Normal Form (BCNF)
3 SQL (Structured Query Language)
3-1 Introduction to SQL
3-2 SQL Data Types
3-3 SQL Commands
3-3 1 Data Definition Language (DDL)
3-3 1-1 CREATE
3-3 1-2 ALTER
3-3 1-3 DROP
3-3 2 Data Manipulation Language (DML)
3-3 2-1 SELECT
3-3 2-2 INSERT
3-3 2-3 UPDATE
3-3 2-4 DELETE
3-3 3 Data Control Language (DCL)
3-3 3-1 GRANT
3-3 3-2 REVOKE
3-3 4 Transaction Control Language (TCL)
3-3 4-1 COMMIT
3-3 4-2 ROLLBACK
3-3 4-3 SAVEPOINT
3-4 SQL Joins
3-4 1 INNER JOIN
3-4 2 LEFT JOIN
3-4 3 RIGHT JOIN
3-4 4 FULL JOIN
3-4 5 CROSS JOIN
3-5 Subqueries and Nested Queries
3-6 SQL Functions
3-6 1 Aggregate Functions
3-6 2 Scalar Functions
4 Database Design
4-1 Entity-Relationship (ER) Modeling
4-2 ER Diagrams
4-3 Converting ER Diagrams to Relational Schemas
4-4 Database Design Best Practices
4-5 Case Studies in Database Design
5 NoSQL Databases
5-1 Introduction to NoSQL Databases
5-2 Types of NoSQL Databases
5-2 1 Document Stores
5-2 2 Key-Value Stores
5-2 3 Column Family Stores
5-2 4 Graph Databases
5-3 NoSQL Data Models
5-4 Advantages and Disadvantages of NoSQL Databases
5-5 Popular NoSQL Databases
6 Database Administration
6-1 Roles and Responsibilities of a Database Administrator (DBA)
6-2 Database Security
6-2 1 Authentication and Authorization
6-2 2 Data Encryption
6-2 3 Backup and Recovery
6-3 Performance Tuning
6-3 1 Indexing
6-3 2 Query Optimization
6-3 3 Database Partitioning
6-4 Database Maintenance
6-4 1 Regular Backups
6-4 2 Monitoring and Alerts
6-4 3 Patching and Upgrading
7 Advanced Database Concepts
7-1 Transactions and Concurrency Control
7-1 1 ACID Properties
7-1 2 Locking Mechanisms
7-1 3 Isolation Levels
7-2 Distributed Databases
7-2 1 CAP Theorem
7-2 2 Sharding
7-2 3 Replication
7-3 Data Warehousing
7-3 1 ETL Processes
7-3 2 OLAP vs OLTP
7-3 3 Data Marts and Data Lakes
7-4 Big Data and Databases
7-4 1 Hadoop and HDFS
7-4 2 MapReduce
7-4 3 Spark
8 Emerging Trends in Databases
8-1 NewSQL Databases
8-2 Time-Series Databases
8-3 Multi-Model Databases
8-4 Blockchain and Databases
8-5 AI and Machine Learning in Databases
9 Practical Applications and Case Studies
9-1 Real-World Database Applications
9-2 Case Studies in Different Industries
9-3 Hands-On Projects
9-4 Troubleshooting Common Database Issues
10 Certification Exam Preparation
10-1 Exam Format and Structure
10-2 Sample Questions and Practice Tests
10-3 Study Tips and Resources
10-4 Final Review and Mock Exams
3-3-2-3 UPDATE Explained

3-3-2-3 UPDATE Explained

Key Concepts

UPDATE Command

The UPDATE command in SQL is used to modify existing records in a table. This command is essential for making changes to data that has already been inserted into the database. The UPDATE command allows you to update one or more columns in one or more rows, based on specified conditions.

SET Clause

The SET clause is used in the UPDATE command to specify the columns that need to be updated and the new values to be assigned to those columns. Each column-value pair in the SET clause indicates the specific change to be made to the corresponding column.

WHERE Clause

The WHERE clause is used in the UPDATE command to specify which records should be updated. Without the WHERE clause, all records in the table would be updated. The WHERE clause allows you to apply the update only to those records that meet the specified condition.

Examples and Analogies

Example: Updating a Record

Consider a "Employees" table with columns "EmployeeID," "Name," and "Salary." To update the salary of an employee named "John Doe" to 60000.00, you would use the following SQL command:

        UPDATE Employees
        SET Salary = 60000.00
        WHERE Name = 'John Doe';
    

This command changes the salary of "John Doe" to 60000.00 while leaving all other records unchanged.

Analogy: Updating a Recipe

Think of a recipe book where you want to update the cooking time for a specific dish. The UPDATE command is like finding the recipe (using the WHERE clause) and changing the cooking time (using the SET clause). Only the specified recipe is updated, and all other recipes remain unchanged.

Conclusion

Understanding the UPDATE command, along with the SET and WHERE clauses, is crucial for managing data in a database. By using these commands effectively, you can ensure that your data remains accurate and up-to-date, reflecting any changes that occur over time.