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OLTP vs OLAP | Apache Cassandra Tutorial | Edureka Video Lecture | Cassandra: Learn and Master - Database Management

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FAQs on OLTP vs OLAP - Apache Cassandra Tutorial - Edureka Video Lecture - Cassandra: Learn and Master - Database Management

1. What is the difference between OLTP and OLAP?
Ans. OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) are two different types of database management systems. OLTP is designed for transaction-oriented applications, where data is constantly being added, updated, and deleted. OLAP, on the other hand, is designed for analytical applications, where data is primarily read and analyzed.
2. How does OLTP differ from OLAP in terms of data storage?
Ans. In OLTP, data is typically stored in a normalized form to ensure efficient transaction processing and data integrity. On the other hand, OLAP systems often use a denormalized or multidimensional data model to facilitate complex analysis and reporting.
3. What are some common use cases for OLTP systems?
Ans. OLTP systems are commonly used in applications that require real-time transaction processing, such as e-commerce websites, banking systems, and inventory management systems.
4. What are some common use cases for OLAP systems?
Ans. OLAP systems are commonly used in applications that require complex data analysis and reporting, such as business intelligence, data mining, and decision support systems.
5. Can a database management system support both OLTP and OLAP?
Ans. Yes, it is possible for a database management system to support both OLTP and OLAP functionalities. Some databases, like Apache Cassandra, are designed to handle both transactional and analytical workloads efficiently. This allows organizations to have a unified database platform for their operational and analytical needs.
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