Database Specialist (1D0-541)
1 Introduction to Databases
1-1 Definition and Purpose of Databases
1-2 Types of Databases
1-3 Database Management Systems (DBMS)
1-4 Evolution of Databases
2 Relational Database Concepts
2-1 Relational Model
2-2 Tables, Rows, and Columns
2-3 Keys (Primary, Foreign, Composite)
2-4 Relationships (One-to-One, One-to-Many, Many-to-Many)
2-5 Normalization (1NF, 2NF, 3NF, BCNF)
3 SQL Fundamentals
3-1 Introduction to SQL
3-2 Data Definition Language (DDL)
3-2 1 CREATE, ALTER, DROP
3-3 Data Manipulation Language (DML)
3-3 1 SELECT, INSERT, UPDATE, DELETE
3-4 Data Control Language (DCL)
3-4 1 GRANT, REVOKE
3-5 Transaction Control Language (TCL)
3-5 1 COMMIT, ROLLBACK, SAVEPOINT
4 Advanced SQL
4-1 Subqueries
4-2 Joins (INNER, OUTER, CROSS)
4-3 Set Operations (UNION, INTERSECT, EXCEPT)
4-4 Aggregation Functions (COUNT, SUM, AVG, MAX, MIN)
4-5 Grouping and Filtering (GROUP BY, HAVING)
4-6 Window Functions
5 Database Design
5-1 Entity-Relationship (ER) Modeling
5-2 ER Diagrams
5-3 Mapping ER Diagrams to Relational Schemas
5-4 Design Considerations (Performance, Scalability, Security)
6 Indexing and Performance Tuning
6-1 Indexes (Clustered, Non-Clustered)
6-2 Index Types (B-Tree, Bitmap)
6-3 Indexing Strategies
6-4 Query Optimization Techniques
6-5 Performance Monitoring and Tuning
7 Database Security
7-1 Authentication and Authorization
7-2 Role-Based Access Control (RBAC)
7-3 Data Encryption (Symmetric, Asymmetric)
7-4 Auditing and Logging
7-5 Backup and Recovery Strategies
8 Data Warehousing and Business Intelligence
8-1 Introduction to Data Warehousing
8-2 ETL Processes (Extract, Transform, Load)
8-3 Dimensional Modeling
8-4 OLAP (Online Analytical Processing)
8-5 Business Intelligence Tools
9 NoSQL Databases
9-1 Introduction to NoSQL
9-2 Types of NoSQL Databases (Key-Value, Document, Column-Family, Graph)
9-3 CAP Theorem
9-4 NoSQL Data Models
9-5 NoSQL Use Cases
10 Database Administration
10-1 Installation and Configuration
10-2 User Management
10-3 Backup and Recovery
10-4 Monitoring and Maintenance
10-5 Disaster Recovery Planning
11 Emerging Trends in Databases
11-1 Cloud Databases
11-2 Distributed Databases
11-3 NewSQL
11-4 Blockchain and Databases
11-5 AI and Machine Learning in Databases
Relational Database Concepts

Relational Database Concepts

Relational Databases are foundational in the world of data management, offering structured ways to store and retrieve information. Understanding key concepts such as Normalization and ACID Properties is crucial for any Database Specialist. Here, we will delve into these two essential concepts.

Normalization

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves structuring a database in a series of normal forms, each with progressively stricter rules.

Key Points:

Example: Consider a database for a library. Without normalization, a table might list both book titles and author names in the same row, leading to redundancy. Normalization would split this into two tables: one for books and one for authors, linked by a unique identifier.

ACID Properties

ACID Properties are a set of four key attributes that ensure reliable processing of database transactions. These properties are crucial for maintaining data integrity in transactional systems.

Key Points:

Example: In a banking system, transferring money from one account to another requires atomicity to ensure the entire transaction is completed or none of it is. Consistency ensures that the total amount of money in the system remains unchanged. Isolation prevents other transactions from interfering with the transfer, and durability ensures that the transaction is recorded permanently.

Understanding these concepts is vital for designing efficient, reliable, and maintainable relational databases. By applying normalization and adhering to ACID properties, Database Specialists can ensure their systems are robust and capable of handling complex data operations.