Online analytical processing (OLAP) is a data processing technique used to analyse large multidimensional data sets. OLAP is a form of data analytics that focuses on the interactive analysis of data from different perspectives and levels of aggregation.
Unlike online transactional processing (OLTP), which is used to process real-time transactions in a database, OLAP focuses on analysing large amounts of historical data and allows users to perform complex queries and generate reports. OLAP uses multidimensional data cubes to store and analyse data, where each dimension of the cube represents a variable or attribute and each cell contains a measure that can be analysed.
OLAP systems are commonly used in businesses to analyse sales, finance and marketing data, among others, and allow users to perform real-time analysis and make informed decisions based on the data. OLAP is also a useful technique in business intelligence data analysis and can be used in conjunction with machine learning techniques to gain valuable insights from data.
The first thing you need to know is the limits of AI and after mastering the basic concepts you will be able to build a large commercial software with intelligent [...]
Read More »The financial sector is constantly implementing new technologies to modernize and digitize its functions. One of the reasons for this is the processing of [...]
Read More »GAMCO's forecasts point to an increase of at least 10% in the percentage of "non-performing loans" to individuals over the next five years.
Read More »Fernando Pavón, CEO of Gamco and expert in Artificial Intelligence applied to business explains to us in the AceleraPYMES cycle how small companies can [...]
Read More »
