Top 50 Data Warehouse Interview Questions & Answers Data Mining is set to be a process of analyzing the data in different dimensions or perspectives and summarizing into a useful information. Can be . Download PDF. + Data Mining Interview Questions and Answers, Question1: What is data mining? Question2: Differentiate between Data Mining and Data warehousing?. TOP Data Mining Interview Questions and Answers pdf download A data warehouse is a electronic storage of an Organization's.
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Frequently asked Data Warehouse Interview Questions with detailed answers and examples. Tips and Tricks for cracking Data Warehouse interview. Happy job . CS DATA WAREHOUSING AND MINING. TWO MARKS QUESTIONS AND ANSWERS. khadictasmimou.cf Data mining. It refers to extracting or “mining” knowledge. DataWarehousing Interview Questions khadictasmimou.cf - Download as PDF File the raw material for management's decision support system. such as data mining.
It is stored in a report format from a specific catalog. The report is generated soon after the catalog is disconnected.
What is XMLA? It is Simple Object Access Protocol.
Discover fetches information from the internet while Execute allows the applications to execute against the data sources. In the XMLA 1. What is ODS?
Unlike a master data store, the data is not sent back to operational systems. It may be passed for further operations and to the data warehouse for reporting. In ODS, data can be scrubbed, resolved for redundancy and checked for compliance with the corresponding business rules. This data store can be used for integrating disparate data from multiple sources so that business operations, analysis and reporting can be carried while business operations occur.
An ODS is designed for relatively simple queries on small amounts of data such as finding the status of a customer order , rather than the complex queries on large amounts of data typical of the data warehouse. An ODS is similar to your short term memory where it only stores very recent information. On the contrary, the data warehouse is more like long term memory storing relatively permanent information. What is level of Granularity of a fact table? What is the difference between view and materialized view?
What is junk dimension? In scenarios where certain data may not be appropriate to store in the schema, this data or attributes can be stored in a junk dimension. The nature of data of junk dimension is usually Boolean or flag values. A single dimension is formed by lumping a number of small dimensions.
This dimension is called a junk dimension. Junk dimension has unrelated attributes. The process of grouping random flags and text attributes in dimension by transmitting them to a distinguished sub dimension is related to junk dimension. What are the different types of SCD's used in data warehousing? What is Hybrid SCD? Why do we override the execute method is struts?
It will rather execute the jsp, servlet or html file as value for the input attribute as part of the attribute in struts-config. What is VLDB? How do you load the time dimension? What is conformed fact?
Conformed dimensions are the dimensions which can be used across multiple Data Marts in combination with multiple facts tables accordingly.
A conformed dimension is a dimension that has exactly the same meaning and content when being referred from different fact tables. A conformed dimension can refer to multiple tables in multiple data marts within the same organization.
What is the main difference between Inmon and Kimball philosophies of data warehousing? Both differ in the concept of building the data warehouse.
Kimball views data warehousing as a constituency of Data marts. Data marts are focused on delivering business objectives for departments in the organization. And the data warehouse is a conformed dimension of the data marts. Hence, a unified view of the enterprise can be obtained from the dimension modeling on a local departmental level.
Inmon explains in creating a data warehouse on a subject-by-subject area basis. Hence, the development of the data warehouse can start with data from the online store. Other subject areas can be added to the data warehouse as their needs arise. Point-of-sale POS data can be added later if management decides it is necessary. Recommended Courses. Self Paced.
Learn More. Online Classroom. Browse all courses. Paschal Ositadima Career-oriented Training. John Chioles Good Experience. December 19, at 4: Answer : Cubes are logical representation of multidimensional data.
The edge of the cube contains dimension members and the body of the cube contains data values. Answer : Star schema: A single fact table with N number of DimensionSnowflake schema: Any dimensions with extended dimensions are known as snowflake schema.
What Are Data Marts? It may have multi-dimensional or normalized.
Data marts are usually built from a bigger data warehouse or from operational data. Answer : There is no data type for a Surrogate Key. Answer : Fact is key performance indicator to analyze the business. Dimension is used to analyze the fact.
Industry verticals like BFSI, healthcare, utilities, even government organizations are turning to Data Warehousing, powered by Business Intelligence, to beat competition. This critical business need has given rise to a whole new business dynamic, and jobs are mushrooming around it.
We are here to help you if you wish to attend DWBI interviews. We have created a list of probable Data Warehousing interview questions and answers.
If you have attended DWBI interviews in the recent past, we encourage you to paste additional questions in the comments tab. All the best! What is a data warehouse? List the types of Data warehouse architectures.