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Data Mart Interview Questions & Answers - Learning Mode

Data Mart Interview Questions & Answers - Learning Mode

The data mart is a subset of the data warehouse that is usually oriented to a specific business line or team. Data marts are small slices of the data warehouse. Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department. A data mart is a repository of data that is designed to serve a particular community of knowledge workers.

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Data Mart Interview Questions & Answers - Learning Mode
Try Data Mart Interview Questions & Answers - Exam Mode
Question: What is the definitions for Datawarehose and Datamart?

Answer: Datamart is subset of Datawarehouse we can say a <br>datamart is collection of individual departmental <br>information...<br>Where as datawarehouse in collection of datamart. Source:
Question: For faster process, what we will do with the Universe?

Answer: For a faster process create aggregate tables and write better sql so that the process would fast.
Question: What is data mart?

Answer: Data Marts is used on a business division/department level. <br>A data mart only contains the required subject specific <br>data for local analysis. <br> A database, or collection of databases, designed to help <br>managers make strategic decisions about their business. <br>data marts are usually smaller and focus on a particular <br>subject or department. Some data marts, called dependent <br>data marts, are subsets of larger data warehouses. A data & Source:
Question: What is Meta data?

Answer: Metadata is data about data. E.g. if in data mart we are receiving any file. Then metadata will contain information like how many columns, file is fix width/limited, ordering of fields, data types of field etc.
Question: What is difference between drill & scope of analysis?

Answer: Drilling can be done in drill down, up, through, and across; scope is the overall view of the drill exercise.
Question: what is data validation strategies for data mart v...

Answer: Data validation strategies are often heavily influenced by the architecture for the application. If the application is already in production it will be significantly harder to build the optimal architecture than if the application is still in a design stage. If a system takes a typical architectural approach of providing common services then one common component can filter all input and output thus optimizing the rules and minimizing efforts.

There are three main models to think about whe Source:
Question: What are Data Marts

Answer: Data Mart is a segment of a data warehouse that can provide data for reporting and analysis on a section, unit, department or operation in the company, e.g. sales, payroll, production. Data marts are sometimes complete individual data warehouses which are usually smaller than the corporate data warehouse.
Question: Briefly state different between data ware house & data mart?

Answer: Data warehouse is made up of many datamarts. DWH contain many subject areas. However, data mart focuses on one subject area generally. E.g. If there will be DHW of bank then there can be one data mart for accounts, one for Loans etc. This is high-level definitions.
Question: What is type 2 version dimension?

Answer: Version dimension is the SCD type II in real time it using because of it will maintain the current data and full historical data.
Question: what is data validation strategies for data mart validation after loading process

Answer: Data validation is generally done manually in DWH in this case if source and TGT are relational you need to create SQL scripts to validate source and target data and if source is Flat file or non relational database you can use excel if data is very less or create dummy tables to validate your ETL code. Source:
Question: What is the difference between a data warehouse and a data mart?

Answer: Datamart is something which consists of only one type of
data whereas datwarehouse consists of data of different
type.For example all the organisation data say data related
to finance department,HR,Banking dept are stored in
datawarehouse whereas in datamart say only finance data
will stored.So datawarehouse is a collection of different
datamarts. Source:


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