Online analytical processing (OLAP) is a technology that organizes large business databases and supports complex analysis. It can be used to perform complex analytical queries without negatively affecting transactional systems.

Feb 10, 2025 · Online Analytical Processing (OLAP) is a powerful technology used for analyzing large volumes of data across multiple dimensions. Hybrid OLAP (HOLAP) is a type of OLAP that combines the strengths of both MOLAP (Multidimensional OLAP) and ROLAP (Relational OLAP).

Feb 10, 2025 · Relational Online Analytical Processing (ROLAP) is an OLAP model that works directly with relational databases to perform data analysis. ROLAP generates multidimensional views dynamically based on the data stored in relational tables.

In computing, online analytical processing, or OLAP (/ ˈ oʊ l æ p /), is an approach to quickly answer multi-dimensional analytical (MDA) queries. [1] The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [2]

Feb 11, 2025 · Hybrid OLAP (HOLAP) is a type of Online Analytical Processing (OLAP) that combines the strengths of both MOLAP (Multidimensional OLAP) and ROLAP (Relational OLAP). HOLAP stores detailed data in relational databases and uses multidimensional cubes for summarized or pre-aggregated data.

Jan 26, 2025 · Real-time OLAP engines are specialised databases designed to deliver sub-second analytics performance. They operate similarly to cube servers in traditional BI solutions, pre-computing metrics across various dimensions to enable real-time drilling and slice-and-dice analysis of data.

Based on this observation, we propose a novel method that computes a thin layer of the data cube together with associated value-list indices. This layer, while being manageable in size, will be capable of supporting °exi-ble and fast OLAP operations in …

Jan 9, 2024 · Online Analytical Processing (OLAP) models form the backbone of interactive and multidimensional data analysis. In this section, we delve into the various OLAP models, each offering unique characteristics to cater to the diverse needs of businesses.

Dec 20, 2024 · In this paper, we suggest a novel GPU-in-data-path architecture that leverages a GPU to accelerate the I/O path and thus can achieve almost in-memory bandwidth using SSDs.

Jul 1, 2022 · To overcome TPC-DS inadequacy, we propose (i) a set of transformations to support the implementation of its sales data mart on any current Big Data OLAP system, (ii) a choice of 16 genuine OLAP queries, and (iii) an improved data maintenance performance metric.