What is measure and dimensions in OLAP? The main difference between an OLAP dimension and an OLAP measure is that the first one forms the data structure, and the second one is responsible for providing
What is measure and dimensions in OLAP?
The main difference between an OLAP dimension and an OLAP measure is that the first one forms the data structure, and the second one is responsible for providing users with numeric values used when creating reports. For example, an OLAP dimension ‘Country’ is detailed to “Region”, then – to “Town” etc.
What is the relationship between measures and dimensions?
Generally, the measure is the number; the dimension is what you “slice and dice” the number by.
Which OLAP reduces dimensions?
roll-up operation
The roll-up operation (also known as drill-up or aggregation operation) performs aggregation on a data cube, by climbing down concept hierarchies, i.e., dimension reduction.
What are the three categories of measures of data cube?
Measures can be organized into three categories—distributive, algebraic, and holistic—based on the kind of aggregate functions used.
What is difference between dimension and cube?
Difference Between Database Dimension and Cube Dimension in SSAS. The Database dimension has only Name and ID properties, whereas a Cube dimension has several more features. Database dimensions created once, and we can use them in multiple cubes.
Can we convert dimensions to measures and vice versa?
That is not a problem because we can easily convert dimensions into measures and vice versa. We then need to convert quantity into a dimension.
What are dimensions and measures?
Dimensions contain qualitative values (such as names, dates, or geographical data). You can use dimensions to categorize, segment, and reveal the details in your data. Dimensions affect the level of detail in the view. Measures contain numeric, quantitative values that you can measure.
What are some popular OLAP tools?
Top 10 Best Analytical Processing (OLAP) Tools: Business…
- #1) Xplenty.
- #2) IBM Cognos.
- #3) Micro Strategy.
- #4) Palo OLAP Server.
- #5) Apache Kylin.
- #6) icCube.
- #7) Pentaho BI.
- #8) Mondrian.