Definition and CharacteristicsWhat is an embedded database? Key features: lightweight, self-contained, and easy to integrate
Applications in IoT, mobile devices, automotive systems, and consumer electronics
Use Cases
Basic Database ConceptsOverview of data models: relational, NoSQL, key-value stores Understanding schemas, tables, and relationships
Key differences and advantages of embedded databases
Embedded Database vs. Traditional Database
Overview of Embedded DatabasesSQLite: features and usage Berkeley DB: architecture and applications Other options: Firebird, H2, and more
Strengths and weaknesses of various embedded database systems
Comparative Analysis
Data ModelingCreating entity-relationship diagrams (ERD) Normalization and denormalization techniques
Designing efficient schemas for embedded applications Managing constraints and data integrity
Schema Design
Installation and ConfigurationInstalling chosen embedded database systems Configuring database settings for optimal performance
Using APIs and drivers to connect applications to the database
Connecting to the Database
Implementing CRUD OperationsWriting SQL queries for Create, Read, Update, Delete Best practices for efficient data manipulation
Understanding ACID properties (Atomicity, Consistency, Isolation, Durability) Implementing transactions in embedded databases
Transaction Management
Indexing StrategiesCreating and managing indexes for faster query performance Choosing the right indexing techniques
Tools and techniques for performance monitoring Analyzing query performance and identifying bottlenecks
Monitoring and Profiling
Implementing Security MeasuresAccess control and authentication methods Encrypting sensitive data in embedded databases
Strategies for data backup in embedded environments Implementing recovery procedures for data integrity
Data Backup and Recovery
