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Data Mining Interview Questions and Answers

Explain the storage models of OLAP.

MOLAP Multidimensional Online Analytical processing
In MOLAP data is stored in form of multidimensional cubes and not in relational databases.

Excellent query performance as the cubes have all calculations pre-generated during creation of the cube.

It can handle only a limited amount of data. Since all calculations have been pre-generated, the cube cannot be created from a large amount of data.

It requires huge investment as cube technology is proprietary and the knowledge base may not exist in the organization.

ROLAP Relational Online Analytical processing
The data is stored in relational databases.

It can handle a large amount of data and
It provides all the functionalities of the relational database.

It is slow.
The limitations of the SQL apply to the ROLAP too.

HOLAP Hybrid Online Analytical processing
HOLAP is a combination of the above two models. It combines the advantages in the following manner:

For summarized information it makes use of the cube.
For drill down operations, it uses ROLAP.

Differentiate between Data Mining and Data warehousing.

Data warehousing is merely extracting data from different sources, cleaning the data and storing it in the warehouse. Where as data mining aims to examine or explore the data using queries. These queries can be fired on the data warehouse. Explore the data in data mining helps in reporting, planning strategies, finding meaningful patterns etc.

E.g. a data warehouse of a company stores all the relevant information of projects and employees. Using Data mining, one can use this data to generate different reports like profits generated etc.

What is Data purging?

Deleting data from data warehouse is known as data purging. While loading data into staging or in the target table fresh data loading may be needed every time. In this scenario, data purging is needed to stage or target table prior to loading fresh data. Usually junk data like rows with null values or spaces are cleaned up. Data purging is the process of cleaning this kind of junk values.

What are CUBES?

A data cube stores data in a summarized version which helps in a faster analysis of data. The data is stored in such a way that it allows reporting easily.

E.g. using a data cube A user may want to analyze weekly, monthly performance of an employee. Here, month and week could be considered as the dimensions of the cube.

Explain what are the different problems that “Data mining” can solve?

Data mining can be used in a variety of fields/industries like marketing, advertising of goods, products, services, AI, government intelligence.

The US Federal Bureau of Investigation uses data mining for screening security and intelligence for identifying illegal and incriminating e-information distributed over internet.

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