Information Technology- Database Management Systems

Introduction to Databases- Conceptual Introduction, Technical Introduction, Practical Introduction, Historical Introduction, Use Case Introduction, Comparative Introduction, Advanced Introduction, Industry-specific Introduction.

Relational Database Management Systems (RDBMS)- Oracle Database, MySQL, Microsoft SQL Server, PostgreSQL, IBM Db2, SQLite, MariaDB, Amazon Aurora.

Database Design- Relational Database Design, Object-Oriented Database Design, Dimensional Database Design, Graph Database Design, NoSQL Database Design, Temporal Database Design, Cloud Database Design, Distributed Database Design, Data Warehouse Design.

SQL Programming- Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL), Transaction Control Language (TCL), Data Query Language (DQL), Stored Procedures, Triggers, Dynamic SQL.

Database Administration- System DBA (Database Administrator), Development DBA, Application DBA, Data Warehouse Administrator, Cloud DBA, Replication DBA.

NoSQL Databases- Key-Value Stores, Document Stores, Column-Family Stores (Wide-Column Stores), Graph Databases, Time-Series Databases, Object Stores.

Data Warehousing and Business Intelligence- Operational Data Store (ODS), Enterprise Data Warehouse (EDW), Data Mart, Online Analytical Processing (OLAP), Data Mining, Business Intelligence Reporting, Data Visualization, Big Data Analytics, Real-Time Analytics, Predictive Analytics.

Distributed Databases- Replicated Databases, Partitioned Databases (Sharded Databases), Federated Databases, Distributed Relational Databases, Distributed Key-Value Stores, Distributed Graph Databases, Distributed Document Stores.

Database Security- Access Control, Encryption, Auditing and Logging, Data Masking and Redaction, Database Activity Monitoring (DAM), Database Firewall, Database Patch Management, Backup and Disaster Recovery, Database Security Policies, Physical Security.

Practical Projects and Case Studies- Software Development Projects, Data Science and Machine Learning Projects, Business and Marketing Case Studies, Engineering and Construction Projects, Healthcare and Medical Case Studies, Environmental Projects, Education and Training Projects, Legal Case Studies, Finance and Investment Projects.