What are OLAP Dimensions?
An OLAP dimension takes the highest level in the OLAP datacube structure. We can define OLAP dimension as the metadata element, which describes the core economic indicators of enterprise’s activity, for example, products, customers, sales region, and period of time etc.
How many Dimensions does a OLAP cube have?
An OLAP Cube is a data structure that allows fast analysis of data according to the multiple Dimensions that define a business problem. A multidimensional cube for reporting sales might be, for example, composed of 7 Dimensions: Salesperson, Sales Amount, Region, Product, Region, Month, Year.
How do you identify the semi structured data?
Semi-structured data is data that does not conform to a data model but has some structure. It lacks a fixed or rigid schema….Sources of semi-structured Data:
- E-mails.
- XML and other markup languages.
- Binary executables.
- TCP/IP packets.
- Zipped files.
- Integration of data from different sources.
- Web pages.
How many maximum Dimensions can we form in OLAP cube?
Defining the Number of Dimensions for a Cube The following are some examples of cubes that meet the maximum number of dimensions: 128 dimensions, each dimension has 1 hierarchy.
What are the types of OLAP?
There are 3 main types of OLAP servers are as following:
- Relational OLAP (ROLAP) – Star Schema based –
- Multidimensional OLAP (MOLAP) – Cube based –
- Hybrid OLAP (HOLAP) –
What does OLAP represent?
OLAP (for online analytical processing) is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or some other unified, centralized data store.
How many dimensions that we can show effectively by using a data cube?
three-dimensional
A data cube refers is a three-dimensional (3D) (or higher) range of values that are generally used to explain the time sequence of an image’s data. It is a data abstraction to evaluate aggregated data from a variety of viewpoints.
What is the relationship between facts and dimensions?
In most dimensions, each fact joins to one and only one dimension member, and a single dimension member can be associated with multiple facts. In relational database terminology, this is referred to as a one-to-many relationship. However, it is frequently useful to join a single fact to multiple dimension members.
What is semi-structured data explain with an example?
Semi-structured data is, essentially, a combination of the two. Photos and videos, for example, may contain meta tags that relate to the location, date, or by whom they were taken, but the information within has no structure.
Which is the best example of semi-structured data?
A few examples of semi-structured data sources are emails, XML and other markup languages, binary executables, TCP/IP packets, zipped files, data integrated from different sources, and web pages.
What are the characteristics of OLAP?
OLAP facilitate interactive query and complex analysis for the users. OLAP allows users to drill down for greater details or roll up for aggregations of metrics along a single business dimension or across multiple dimension. OLAP provides the ability to perform intricate calculations and comparisons.
What is the purpose of OLAP?