The full form of OLAP is A) Online Analytical Processing B) Online Advanced Processing C) Online Advanced Preparation D) Online Analytical Performance 2. ……………………. is a subject-oriented, integrated, time-variant, nonvolatile collection or data in support of management decisions. A) Data Mining B) Data Warehousing C) Document Mining D) Text Mining 3. The data is stored, retrieved and updated in……………….. A) OLAP B) OLTP C) SMTP D) FTP 4. An ……………… system is market-oriented and is used for data analysis by knowledge workers, including managers, executives, and analysts. A) OLAP B) OLTP C) Both of the above D) None of the above 5. Which of the following is not a kind of data warehouse application? A) Information processing B) Analytical processing C) Data mining D) Transaction processing
The Correct Answer and Explanation is :
Correct Answers:
- A) Online Analytical Processing
- B) Data Warehousing
- B) OLTP
- A) OLAP
- D) Transaction processing
Explanation:
- Online Analytical Processing (OLAP):
OLAP is a category of data processing that enables users to analyze large volumes of data from multiple perspectives. It allows for complex queries and the creation of reports that are multidimensional. This is typically used in decision support systems. The term OLAP is used to represent systems that allow users to perform interactive data analysis in real-time. Thus, the full form of OLAP is Online Analytical Processing. - Data Warehousing:
A Data Warehouse is a centralized repository of integrated data from multiple disparate sources. It supports analytical reporting, data mining, and decision-making. Data in a data warehouse is typically subject-oriented (focused on business subjects like sales, finance, etc.), integrated (from various systems), time-variant (contains historical data), and non-volatile (data doesn’t change over time). This is key to providing decision support. - OLTP (Online Transaction Processing):
OLTP is designed for managing transactional data, where operations such as data storage, retrieval, and updates are necessary. It is optimized for high transaction volume and speed. OLTP systems are typically used in applications like banking, airline reservations, or customer service, where real-time data updates are required. - OLAP System:
An OLAP system is market-oriented and used primarily by knowledge workers such as managers, executives, and analysts for the purpose of data analysis. It supports business decision-making by allowing users to view data from multiple perspectives and drill down into detailed levels of information. OLTP systems, on the other hand, are more transactional and support operational activities. - Transaction Processing:
Transaction Processing (OLTP) refers to systems that manage transaction-oriented applications, typically for business processes like order entry, inventory management, and payroll. Data warehousing applications are focused on information and analytical processing, not on transaction processing, which makes Transaction Processing the odd one out in the context of data warehouse applications.
In conclusion, OLAP is mainly used for data analysis, while OLTP deals with day-to-day transaction processing. A data warehouse facilitates long-term decision support with structured data, focusing on historical insights rather than operational activities.