Introduction_to_Databases.pptx managemnt

Databases

1. Introduction to Databases Understanding the Basics of Database Systems

2. What is a Database? Definition: A database is an organized collection of structured information or data, typically stored electronically in a computer system. Data Security: Protect data from unauthorized access.

3. Why Are Databases Important? Data Management: Efficiently handle large volumes of data. Ventures can improve the quality of life for individuals and communities by creating new products and services that solve problems or meet the needs of the people and the business.

4. Key Components of a Database Tables: Store data in rows and columns. Records: Individual entries in a table (rows). Fields: Columns in a table representing data attributes. Indexes: Speed up data retrieval.

5. Types of Databases Relational Databases (RDBMS): Use tables to represent data and relationships (e.g., MySQL, PostgreSQL). NoSQL Databases: Handle unstructured data (e.g., MongoDB, Cassandra). Hierarchical Databases: Organize data in a tree-like structure (e.g., IBM’s Information Management System). Object-Oriented Databases: Store data as objects (e.g., db4o)

6. Relational Database Concepts Tables: Structured data in rows and columns. Primary Keys: Unique identifiers for records. Foreign Keys: Links between tables Normalization: Process of organizing data to reduce redundancy.

7. Basic SQL Commands SELECT: Retrieve data from a database.    Example: SELECT * FROM table_name ; INSERT: Add new records. Example: INSERT INTO table_name (column1, column2) VALUES (value1, value2); UPDATE: Modify existing records.    Example: UPDATE table_name SET column1 = value1 WHERE condition; DELETE: Remove records.    Example: DELETE FROM table_name WHERE condition;

8. Database Design Schema: The structure of a database, including tables, relationships, and constraints. Entity-Relationship Diagrams (ERDs): Visual representations of the database structure.

9. Advantages of Using a DBMS Data Integrity: Ensures accuracy and consistency. Data Security: Manages user access and permissions. Backup and Recovery: Facilitates data protection.

10. Challenges in Database Management Scalability: Handling growing amounts of data. Performance: Ensuring fast data retrieval and updates. Data Migration: Moving data between systems.

11. Summary Recap: Key points about databases and their importance. Questions: Open the floor for questions and discussion.

12. Current Trends in Databases Big Data: Managing and analyzing large datasets. Cloud Databases: Databases hosted on cloud platforms (e.g., AWS, Google Cloud). Artificial Intelligence: Using AI for predictive analytics and data insights.

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