Kostka OLAP
Kostka OLAP
OLAP cube (OLAP cube) - data structure that allows for quick data analysis. It stores data more resembling multidimensional spreadsheets than a traditional relational database. It can also be defined as the ability to manipulate and analyze data from different points of view. The distribution of data in cubes overcomes the limitations of relational databases.
OLAP cubes can be considered as extending a two-dimensional spreadsheet table. For example, an enterprise might want to analyze financial data based on product, time, city, by type of income and cost, and by comparing actual data with the budget. These additional methods of dissecting data are known as dimensions. Because there can be more than three dimensions in the OLAP system, sometimes the term hypercube is used.
Construction of the cubeEach cube consists of dimensions and measures, that is, the analyzed values. An example of a data cube built on the basis of the following dimensions: product, shop and time, where in the individual cells of the cube there are values of measures, eg number of units sold or sales value will provide the end user with information on the quantity of goods (or groups) sold in a given store or stores in a specific time interval (you can compare eg corresponding periods of different years). Measures are numeric indicators (how many), dimensions represent descriptive data (who, what). Dimensions can be divided into levels. Typical operations Division of cubes
Cubes can be divided into the so-called: Bibliography
wiki
Comments
Post a Comment