Database Design and Management

Building Efficient, Scalable, and Secure Databases for Modern Applications

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Weeks

About

The Database Design and Management program provides an in-depth understanding of database architecture, SQL and NoSQL databases, normalization techniques, indexing strategies, and database security. Participants will gain hands-on experience in database modeling, optimization, backup strategies, and cloud database management, preparing them for careers in data engineering, database administration, and software development.

Aim

To equip participants with the fundamental and advanced skills required to design, develop, and manage relational and non-relational databases, ensuring data integrity, security, and performance optimization.

Program Objectives

To train participants in designing and managing efficient database systems.
To provide hands-on experience in SQL and NoSQL database modeling.
To develop expertise in database security, backup strategies, and recovery planning.
To introduce participants to cloud database management and big data storage.
To prepare learners for database-related roles in enterprise IT and software development.

Program Structure

Week 1: Fundamentals of Database Design

Module 1: Introduction to Databases

Understanding Databases and Their Importance
- Difference between relational and non-relational databases.
- Database models: Hierarchical, Network, Relational (RDBMS), NoSQL.
- SQL vs. NoSQL: When to use which?
Popular Database Management Systems (DBMS)
- MySQL, PostgreSQL, SQL Server, Oracle, MongoDB.
- Cloud-based databases: AWS RDS, Google Cloud SQL, Azure SQL Database.

Hands-On Lab:

Setting up MySQL/PostgreSQL and executing basic SQL queries.

Module 2: Database Normalization and Schema Design

Relational Database Design Principles
- Data redundancy and normalization (1NF, 2NF, 3NF, BCNF).
- Relationships: One-to-One, One-to-Many, Many-to-Many.
ER Diagrams and Schema Design
- Creating Entity-Relationship (ER) diagrams.
- Mapping ER models to relational schemas.

Hands-On Lab:

Designing a relational database schema and creating an ER diagram.

Week 2: SQL Query Optimization and Database Management

Module 3: SQL Queries and Optimization Techniques

Advanced SQL Queries
- Subqueries, Common Table Expressions (CTEs), and Joins.
- Window functions and aggregate queries.
Indexing and Query Performance Optimization
- Using indexes to improve query performance.
- Query execution plans and performance tuning.

Hands-On Lab:

Optimizing complex SQL queries using indexing and execution plans.

Module 4: Database Transactions, Security, and Backup Strategies

Transaction Management in Databases
- ACID properties (Atomicity, Consistency, Isolation, Durability).
- Implementing transactions using COMMIT, ROLLBACK, and SAVEPOINT.
Database Security Best Practices
- User roles and access control.
- Data encryption and secure connections (SSL/TLS).
Backup and Recovery Strategies
- Full, incremental, and differential backups.
- Point-in-time recovery and disaster recovery planning.

Hands-On Lab:

Configuring database user roles and implementing a backup and restore strategy.

Week 3: NoSQL Databases, Cloud Databases, and Database Scaling

Module 5: NoSQL Databases and Big Data Management

Introduction to NoSQL Databases
- Key-value stores (Redis), Document stores (MongoDB), Column stores (Cassandra), Graph databases (Neo4j).
- Use cases of NoSQL vs. relational databases.
Working with MongoDB
- Data modeling and schema design in NoSQL databases.
- Querying and indexing in MongoDB.

Hands-On Lab:

Setting up and querying data in MongoDB.

Module 6: Cloud Databases, Scaling, and High Availability

Scaling Databases for Performance
- Horizontal vs. Vertical Scaling.
- Database replication, sharding, and partitioning.
Cloud Databases and Serverless Database Technologies
- AWS RDS, DynamoDB, Google Firestore, Azure CosmosDB.
- Serverless databases and their advantages.

Hands-On Lab:

Deploying a cloud database and configuring replication and auto-scaling.

Participant’s Eligibility

Software developers and IT professionals
Database administrators and system architects
Data engineers and business intelligence professionals
Students and researchers in database management and data analytics

Program Outcomes

Mastery of SQL and NoSQL database technologies
Hands-on experience in designing and optimizing databases
Ability to implement security, indexing, and performance tuning techniques
Understanding of cloud databases and distributed database management
Readiness for database certifications (Oracle, AWS RDS, Microsoft SQL Server, MongoDB Certified DBA)

Fee Structure

Standard Fee: INR ~~16,998~~ USD ~~224~~

Discounted Fee: INR 8,499 USD 112

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies