Advanced Database Engineering Program
The Advanced Database Engineering Program is designed to equip learners with in-depth expertise in database architecture, administration, optimization, and security. This program covers relational and non-relational databases, cloud database solutions, performance tuning, and data security best practices, ensuring you gain the skills required for high-demand roles in database engineering.
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.
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Mongodb+postgresSQL
MongoDB, a leading NoSQL database, plays a critical role in deploying AI and machine learning applications by enabling fast, scalable data storage and retrieval. Its flexible, schema-less design allows AI systems to handle diverse, unstructured data, essential for training models and making predictions. MongoDB's ability to support real-time data updates and provide rapid access to large datasets ensures that AI applications can deliver quick, accurate responses, enhancing user experiences and operational efficiency. By using MongoDB, developers can seamlessly integrate AI models into production environments, ensuring high performance and scalability in the deployment of machine learning solutions.
Transforming the Healthcare Industry with PostgreSQL
PostgreSQL, a powerful open-source relational database management system, is revolutionizing the healthcare industry by providing secure, scalable, and efficient data management solutions. With its advanced features like ACID compliance, complex query support, and data integrity, PostgreSQL is ideal for managing the vast amounts of sensitive health data generated by hospitals, clinics, and medical research centers. It enables healthcare organizations to store patient records, medical histories, and real-time monitoring data with high reliability and security. PostgreSQL’s ability to handle structured and semi-structured data ensures seamless integration of various healthcare applications, supporting clinical decision-making, personalized treatment plans, and better overall patient care. By utilizing PostgreSQL, healthcare providers can improve data accessibility, reduce errors, and streamline operations, ultimately enhancing the quality of care and patient outcomes.
Transforming the Telecom Sector with MongoDB
MongoDB is revolutionizing the telecommunications industry by providing a flexible, scalable, and high-performance database solution to manage the vast amounts of data generated by telecom operations. Telecom companies handle diverse data types, from customer profiles and call records to network performance data and service usage patterns. MongoDB’s schema-less design allows telecom businesses to efficiently store and process this unstructured data in real-time. Its ability to scale horizontally and support high-velocity data ingestion ensures that telecom providers can handle large volumes of customer data and transactions with minimal latency. Additionally, MongoDB’s powerful aggregation framework enables telecom companies to perform complex analytics, improve network optimization, deliver personalized customer experiences, and enhance decision-making.
Placement Companies
Students Reviews
Simanchal Nayak
Analyst ConsultantLeaving my teaching career and stepping into IT felt like a huge challenge. Today, I'm proud to be joining Accenture, Pune. Thank you, DataXSchool and Srikanta Sir, for your unwavering support, expert guidance, and for helping me turn my career dream into reality.
Himanshu Raut
Database EngineerI'm happy to share that I have been placed as a Database Engineer at NTT DATA, Bengaluru .A heartfelt thanks to DataXSchool and Srikanta Sir for their excellent training, practical learning, and continuous support throughout my journey. The guidance and placement assistance helped me achieve my career goal.
Jogeswar Rao
Senior ConsultantI'm grateful to DataXSchool and Srikanta Sir for helping me begin my IT career. As a B.Sc graduate, I'm excited to be placed at Wipro Technology, Mumbai. Thank you for your excellent guidance and support!
Rajesh Patra
Data EngineerAfter a long career gap, I had almost lost hope. Today, I'm grateful to begin a new chapter at Rakuten, Hyderabad. This journey has taught me that with determination and the right opportunity, it's never too late to start again
Gopal P
Data AnalystAs a B.Tech Mechanical graduate, I never imagined I'd transition from a low-paying construction job to the IT industry. Today, I'm proud to start my new journey with **TCS, Bhubaneswar**. Hard work, persistence, and believing in myself made this dream come true.
Alok Rath
Techical ConsultantAfter years of preparing for government jobs, I finally found my path. Happy to start my IT career with Deloitte, Bhubaneswar. Never stop believing—your breakthrough may be closer than you think.
Jay Prakash Meher
Senior Analyst ConsultantAs a B.Sc student with no technical background and no coding knowledge, I never thought I could build a career in IT. Today, I'm proud to be placed at Accenture, Bengaluru. This journey proved that with dedication and the right guidance, anything is possible.
Himesh Raut
Database ConsultantAfter struggling in a low-paying marketing job, I finally found my breakthrough. Happy to start my new IT career with a Chennai-based company (WFH). Every struggle is worth it when you never give up.
Ganesh Rao
Cloud Database AdminstratorAfter long days in a construction field job with a low salary, I decided to change my future. Today, I'm proud to start my IT career with Rackspace, Pune. Every struggle was worth it.
Our Success Story
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