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.
Artificial intelligence is increasingly used and applied in many sectors, and as it could not be less, it has entered with force in the field of [...]
Read More »The semantic web or "internet of knowledge" is an extension of the current web. Unlike the latter, the semantic web is based on proportional [...]
Read More »In the digital age in which we live, artificial intelligence (AI) has emerged as a disruptive force in numerous industries, and the banking sector has been [...]
Read More »Big data analytics is the process of analyzing large and complex data sources to uncover trends, patterns, customer behaviors, and other data sources [...]
Read More »
