Online Analytical Processing (OLAP) is used for: ans. Analyzing multi-dimensional data interactively Analyzing large volumes of transactional data Real-time data processing Extracting data from operational systems
Question
Online Analytical Processing (OLAP) is used for: ans. Analyzing multi-dimensional data interactively
Analyzing large volumes of transactional data
Real-time data processing
Extracting data from operational systems
Solution
Online Analytical Processing (OLAP) is primarily used for analyzing multi-dimensional data interactively. It allows users to analyze database information from multiple database systems at one time. While it can handle large volumes of data, its primary function is not to analyze large volumes of transactional data.
OLAP is not typically used for real-time data processing. It is more commonly used for complex calculations, trend analyses, and sophisticated data modeling.
Lastly, OLAP does not directly extract data from operational systems. Instead, the data is often cleaned, transformed, and loaded into an OLAP system (often a data warehouse) from operational databases.
Similar Questions
The term OLAP stands for?Question 5Select one:a.Online Applications Processingb.Online Analytical Processingc.Online Transactional Processingd.Online Limited Analytics Processing
Which type of database system is optimized for retrieval of large amounts of data? OLAP (Online Analytical Processing) OLTP (Online Transaction Processing) NoSQL RDBMS (Relational Database Management System)
Identify characteristics of data warehouses. More than one answer is possible.1 pointPopulated from operational databases and external data sourcesOptimized for efficient and reliable processing of large volumes of daily transactions.Transformations and integrations performed to support decision makingOptimized for reporting that summarizes large amounts of data
Data Warehouse é “um banco de dados relacional projetado para consulta e análise, em vez de processamento de transações”. Está inserido dentro de um ambiente de processos de extração (extract), transporte (carga/load) e transformação (transform) – ETL – das informações, além de um mecanismo de processamento analítico online (OLAP), entre outras ferramentas que possam agregar informações diversas para auxiliar na tomada de decisão. Algumas características são:I. Baixo nível de granularidadeII. Grande quantidade de dados históricosIII. Tecnologia otimizada para armazenamento e gerência de grandes quantidades de dadosIV. Tecnologia otimizada para acesso de consultas rápidasV. Cada área departamental possui suas características específicasDas alternativas, quais características se referem ao Data Warehouse?I, II e IIII, IV e VIV e VApenas IIIIII, IV e V
Compare and contrast OLTP and Data Warehousing
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