Database Programming
Introduction to Database Programming
Gain a foundational understanding of database programming, including its role in developing database-driven applications. Learn about the interaction between databases and programming languages.
SQL Programming Basics
Learn the fundamentals of SQL (Structured Query Language), including basic queries, data manipulation, and data definition. Understand how to perform CRUD operations (Create, Read, Update, Delete) and use SQL commands effectively.
Advanced SQL Techniques
Explore advanced SQL techniques such as complex joins, subqueries, stored procedures, and triggers. Learn how to optimize SQL queries for performance and handle complex data retrieval tasks.
Database APIs and Libraries
Study various database APIs (Application Programming Interfaces) and libraries used for interacting with databases from programming languages. Learn how to use APIs for popular databases like MySQL, PostgreSQL, and Oracle.
Integrating Databases with Applications
Learn how to integrate databases with application development. Explore techniques for connecting applications to databases, handling transactions, and ensuring data consistency and integrity.
Database Programming with Python
Dive into database programming using Python. Learn how to use libraries such as SQLite, SQLAlchemy, and Django ORM to interact with databases and manage data within Python applications.
Database Programming with Java
Explore database programming with Java, including JDBC (Java Database Connectivity) and popular frameworks like Hibernate. Learn how to connect Java applications to databases and perform data operations.
Database Programming with C#
Study database programming with C# and .NET. Learn how to use ADO.NET and Entity Framework to interact with databases, handle data operations, and manage database connections in C# applications.
Error Handling and Debugging
Understand how to handle errors and debug issues in database programming. Learn techniques for troubleshooting database queries, managing exceptions, and ensuring robust application performance.
Performance Optimization
Learn strategies for optimizing database performance in your applications. Explore indexing, query optimization, and caching techniques to improve the efficiency of database operations.
Case Studies and Practical Exercises
Engage in case studies and practical exercises to apply database programming concepts. Work on real-world projects to develop, test, and refine your skills in database programming.
Database Programming Syllabus
Introduction to Database Programming
- Overview of Database Programming: Role and importance in application development
- Types of Database Systems: Relational, NoSQL, NewSQL
- SQL vs. NoSQL: Comparing SQL and non-relational database paradigms
SQL Fundamentals
- Basic SQL Commands: SELECT, INSERT, UPDATE, DELETE
- Filtering and Sorting Data: WHERE, ORDER BY
- Querying Multiple Tables: Joins (INNER, LEFT, RIGHT, FULL), subqueries
Advanced SQL Concepts
- Aggregation Functions: AVG, SUM, COUNT, MIN, MAX
- Grouping Data: GROUP BY, HAVING
- Set Operations: UNION, INTERSECT, EXCEPT
SQL Functions and Procedures
- Scalar Functions: String functions, date functions, mathematical functions
- Aggregate Functions in Depth: GROUP_CONCAT, LISTAGG, ARRAY_AGG
- Stored Procedures: Creating, calling, and managing stored procedures
Transactions and Concurrency Control
- ACID Properties: Atomicity, Consistency, Isolation, Durability
- Managing Transactions: BEGIN TRANSACTION, COMMIT, ROLLBACK
- Concurrency Issues: Locking, deadlock prevention, isolation levels
Database Security and Authentication in SQL
- User Management: Creating users, granting privileges
- SQL Injection Prevention: Parameterized queries, prepared statements
- Auditing and Logging: Monitoring SQL activities and security events
Indexing and Query Optimization
- Indexing Basics: Types of indexes (B-tree, hash, bitmap)
- Performance Optimization Techniques: EXPLAIN PLAN, query hints
- Tuning SQL Queries: Improving query performance with indexing strategies
Database Triggers and Views
- Database Triggers: BEFORE, AFTER triggers for DML operations
- Creating and Managing Views: Simple views, complex views
- Materialized Views: Benefits and considerations
NoSQL Database Programming
- Introduction to NoSQL Databases: Document-based, key-value, column-family, graph databases
- Querying NoSQL Databases: MongoDB (Mongo Shell), Cassandra (CQL), Redis (Redis CLI)
- Using NoSQL with SQL: Polyglot persistence and hybrid approaches
Object-Relational Mapping (ORM)
- Introduction to ORM: Mapping objects to relational databases
- Using ORMs in Practice: Hibernate (Java), Entity Framework (C#)
- Benefits and Challenges of ORM: Performance considerations, code maintenance
Database Programming for Web Applications
- Connecting to Databases in Web Applications: JDBC (Java), ADO.NET (C#)
- Handling Database Operations: CRUD operations, connection pooling
- Secure Database Access: Best practices for web application security
Database Programming in Cloud Environments
- Cloud Database Services: AWS RDS, Azure SQL Database, Google Cloud SQL
- Deploying Database Applications on Cloud Platforms
- Scalability and Performance Considerations in Cloud Databases
Emerging Trends in Database Programming
- Blockchain and Database Programming: Integration and use cases
- AI and Machine Learning in Database Applications
- Data Privacy and Compliance: GDPR, CCPA, and database programming implications
Database Programming Project
- Real-world Database Programming Project: From design to implementation
- Presentation of Findings: Demonstrating project outcomes
- Peer Review and Feedback: Evaluation and improvement based on feedback
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details