Advanced Database Engineering Program
The Advanced Database Engineering Program is designed to meet the growing demand for skilled database professionals, with opportunities across industries such as finance, healthcare, retail, e-commerce, and technology. As organizations increasingly rely on high-performance, secure, and cloud-based databases, Database Engineers and DBAs play a critical role in managing business-critical data infrastructure. This course delivers hands-on expertise in PostgreSQL, MongoDB, SQL, Linux, AWS, database security, performance tuning, replication, backup and recovery, monitoring, and automation, with real-time projects simulating production environments such as high-availability databases, automated backup systems, cloud database deployments, and performance monitoring solutions. Learners benefit from expert mentorship, practical labs, interview preparation, resume building, career guidance, and placement assistance, helping them develop industry-ready skills for Database Engineer, PostgreSQL DBA, MongoDB DBA, and Cloud Database roles.
Course Curriculum
Module 1: Course Introduction & Database Fundamentals
- Introduction to the role of a Database Administrator (DBA) and responsibilities.
- Overview of SQL (PostgreSQL) and NoSQL (MongoDB) databases and their key differences.
- Core database concepts: tables, schemas, relationships, indexing, and data types.
- Introduction to database architecture: how data is stored, retrieved, and structured.
- Basics of database design, normalization, and data integrity.
- Course structure and real-world applications in database administration.
Module 2: Database Architecture and Management
- Deep dive into PostgreSQL architecture: processes, memory management, and storage engines.
- Understanding MongoDB architecture: collections, documents, replica sets, and sharding.
- Key indexing strategies in PostgreSQL and MongoDB for query optimization.
- Transaction management: ACID properties in SQL and BASE model in NoSQL.
- Data consistency, integrity, and performance tuning in both SQL and NoSQL environments.
- Hands-on tasks: Create and manage databases, tables, and collections efficiently.
Module 3: Cluster Setup & EC2 Instances
- Setting up AWS EC2 instances for hosting PostgreSQL and MongoDB databases.
- Installing, configuring, and managing PostgreSQL and MongoDB on EC2 instances.
- Configuring database security groups, network access, and permissions.
- Basic Linux commands for managing database files and system resources.
- Networking essentials: configuring firewalls and VPNs for secure cloud deployment.
- Real-world project: Setting up a 3-node database cluster on AWS and ensuring connectivity.
Module 4: Scaling, Replication & Security
- Vertical and horizontal scaling strategies for PostgreSQL and MongoDB.
- Setting up replication: Master-slave replication in PostgreSQL, Replica sets in MongoDB.
- High availability setup: Configuring failover, automatic recovery, and load balancing.
- Implementing security measures: user roles, encryption, SSL, and authentication.
- Backup and restore strategies: full and incremental backups at various levels.
- Real-time project: Implementing replication, scaling, and securing database clusters.
Module 5: Data Migration & Backup Solutions
- Strategies for migrating data between different environments (Prod, QA, Dev) for PostgreSQL and MongoDB.
- Tools for database migration: Use of scripts, utilities, and third-party tools.
- Backup solutions: full, differential, and incremental backups.
- Scheduling and automating backup tasks for database consistency and security.
- Using open-source tools (e.g., PerconaDB) and enterprise tools (e.g., Commvault) for backup management.
- Real-time project: Migrating data and implementing backup solutions in PostgreSQL and MongoDB.
Module 6: Monitoring, Troubleshooting & Career Readiness
- Setting up database monitoring with tools like OPSManager, PerconaDB, and MongoDB Compass.
- Performance metrics monitoring: CPU, memory, disk usage, query performance, and response times.
- Troubleshooting common issues: slow queries, database downtime, high traffic, and connection problems.
- Log analysis for optimization and identifying performance bottlenecks.
- Mock interviews, DBA-specific interview questions, and resume-building tips.
- Career guidance: Job search strategies, LinkedIn optimization, and interview preparation.
Take the First Step Towards Smarter Learning.
Connect with us effortlessly! Get a call back to resolve your queries, request a free demo class to explore our offerings, or book a personalized demo session to dive deeper into your learning journey. Experience a seamless path to mastering data analytics with expert guidance at every step.