Types of Data processing Systems.

There are t2 types of data processing systems: online analytical processing (OLAP) and online transaction processing (OLTP). The main difference is that OLAP uses data to gain valuable insights, while the other is purely operational.

Online analytical processing (OLAP) is a system for performing multi-dimensional analysis at high speeds on large volumes of data. Typically, this data is from a data warehouse, data mart, or some other centralized data store. OLAP is ideal for data mining, business intelligence, and complex analytical calculations, as well as business reporting functions like financial analysis, budgeting, and sales forecasting.

Online transactional processing (OLTP) enables the real-time execution of large numbers of database transactions by large numbers of people, typically over the Internet. OLTP systems are behind many of our everyday transactions, from ATMs to in-store purchases to hotel reservations. OLTP can also drive non-financial transactions, including password changes and text messages. OLTP systems use a relational database that process a large number of transactions, enable multi-user access to the same data, rapid processing, provide indexed data sets for rapid searching, retrieval and querying.

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