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 Big Data market is booming. Although the need to transform data into information for decision making is not new, the need to [...]
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 »Industry 4.0 is the name given to the fourth industrial revolution, which is characterized by the inclusion of advanced technologies in production processes.
Read More »More and more companies are taking advantage of the relevant information they extract from the data they possess and generate to improve their processes and discover new ways to [...]
Read More »
