Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are two fundamental technologies used in database systems, but they serve different purposes. OLTP is designed to manage day-to-day operational transactions efficiently, whereas OLAP is intended for analytical processing and decision support. Together, they form the backbone of modern business information systems by handling operational data and transforming it into meaningful insights. OLTP systems are transaction-oriented and support routine business operations such as banking transactions, online shopping, airline reservations, hospital management, and payroll processing. These systems process a large number of short, simple, and concurrent transactions while maintaining data consistency and integrity. OLTP databases are highly normalized to reduce redundancy and ensure efficient insertion, updating, and deletion of records. Their primary objective is fast response time and reliable transaction processing. For example, when a customer withdraws money from an ATM, the OLTP system immediately updates the account balance, records the transaction, and ensures data accuracy. In contrast, OLAP systems are analysis-oriented and are mainly used by managers, analysts, and decision-makers. They process historical and summarized data collected from multiple operational databases and data warehouses. OLAP databases are generally denormalized and organized into multidimensional structures such as data cubes, enabling complex queries and rapid analysis. Unlike OLTP, which focuses on current transactions, OLAP emphasizes trend analysis, forecasting, budgeting, and strategic planning. For example, a retail company may use an OLAP system to analyze sales across different regions, products, and time periods to identify profitable markets and seasonal trends. Several differences distinguish OLTP from OLAP. OLTP handles current operational data, while OLAP deals