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Data Warehousing Interview Questions & Answers - Learning Mode
COOLINTERVIEW.COM DATA WAREHOUSING INTERVIEW QUESTIONS QUESTIONS & ANSWERS - LEARNING MODE

Data Warehousing Interview Questions & Answers - Learning Mode

Data warehousing is the process of constructing and using a data warehouse. A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making. A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process. Subject-Oriented: A data warehouse can be used to analyze a particular subject area.

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Data Warehousing Interview Questions & Answers - Learning Mode
Try Data Warehousing Interview Questions & Answers - Exam Mode
Question: What are the major differences between Informatica 7.1,8.1,8.5 and 8.6?

Answer: 8.1 supports java transformation and service oriented architecture rather than 7.1. Source: CoolInterview.com
Question: What is a level of Granularity of a fact table?

Answer: A fact table is usually designed at a low level of Granularity. Source: CoolInterview.com
Question: What is data cleaning? How can we do that?

Answer: Data cleaning is a self-explanatory term. Most of the data warehouses in the world source data from multiple systems - systems that were created long before data warehousing was well understood, and hence without the vision to consolidate the same in a single repository of information. In such a scenario, the possibilities of the following are there:

► Missing information for a column from one of the data sources;
► Inconsistent information among different data sources;
Source: CoolInterview.com
Question: what is project architecture in datastage

Answer: No answer available currently.
Question: What is the difference between OLAP and data warehouse?




Answer: Datawarehouse is the place where the data is stored for analyzing where as OLAP is the process of analyzing the data,managing aggregations, partitioning information into cubes for in depth visualization. Source: CoolInterview.com
Question: What is galaxy schema?

Answer: Galaxy schema is also known as fact constellation scheme. It requires no of fact tables to share dimension tables. In data, wares housing mainly the people are using the conceptual hierarchy. Source: CoolInterview.com
Question: Explain about the top design?

Answer: In a top design model data ware house is designed in a normalized enterprise model. This is chiefly used for business intelligence and management capabilities. Data used for business purpose and management can be met through a dataware house. It is used to generate dimensional views and is known to be good and stable against business changes. Source: CoolInterview.com
Question: What are the general stages of use of dataware house?

Answer: These are the general stages of use: -
1) Offline operational database
2) Offline dataware house
3) Real time dataware house
4) Integrated dataware house. Source: CoolInterview.com
Question: What is hybrid slowly changing dimension?


Answer: Hybrid SCDs are combination of both SCD 1 and SCD 2. It may happen that in a table, some columns are important and we need to track changes for them i.e capture the historical data for them whereas in some columns even if the data changes, we don?t care. Source: CoolInterview.com
Question: Data Warehousing - Introduction

Answer: 1. Explain the evolution of database technology to data mining 2 to 5
2. Describe the steps involved in data mining as a process of knowledge discovery 11 to
3. How is a data warehouse different from a database? How are they similar?
4. Briefly describe different advance database systems and their applications.
5. Define different data mining functionalities 53 to 72
6. Define interestingness, and explain the issues related to interestingness 73 to 78
7. Explain the classificat Source: CoolInterview.com
Question: Why is SAS so popular?

Answer: Statistical Analysis System is an integration of various software products which allows the developers to perform
Data entry, data retrieval, data management and data mining
Report writing and supports for graphics
Statistical analysis, business planning, business forecasting and business decision support
Operations research and project management, quality improvement, application development
Extract, transform and load functions in data warehousing.
Platform independent and re Source: CoolInterview.com
Question: Can a dimension table contains numeric values?

Answer: yes we can have numeric values in dimensional table but these are not frequently updated as dim table contains constant data but only on some occassions it can change. Source: CoolInterview.com
Question: How can you import tables from a database?

Answer: In Business Objects Universe Designer you can open Table Browser and select the tables needed then insert them to designer. Source: CoolInterview.com
Question: Explain some disadvantages of dataware house?

Answer: These are some of the disadvantages of dataware house: -
1) It represents a very large project with a very broad scope which is a big disadvantage.
2) Upfront costs are very huge and the duration of the project from the start to the end user is significant.
3) It is inflexible and unresponsive to the departmental needs. Source: CoolInterview.com
Question: What is the difference between star and snowflake schemas?

Answer: Star schema:
A single fact table with N number of DimensionSnowflake schema: Any dimensions with extended dimensions are known as snowflake schema.
Source: CoolInterview.com
Question: How much data hold in one universe.

Answer: Universe does not hold any data. However, practically the universe is known to have issues when the objects cross 6000.
Source: CoolInterview.com
Question: What is the difference between Datawarehousing and Business Intelligence?

Answer: Data warehousing deals with all aspects of managing the development, implementation and operation of a data warehouse or data mart including meta data management, data acquisition, data cleansing, data transformation, storage management, data distribution, data archiving, operational reporting, analytical reporting, security management, backup/recovery planning, etc. Business intelligence, on the other hand, is a set of software tools that enable an organization to analyze measurable aspects of Source: CoolInterview.com
Question: What do you know about Datawarehousing ?

Answer: Data warehousing is used for reporting and analysis of the data. It is primarily used to analyze data. Some of the additional uses of it are extraction and retrieval of data, manage, load and manipulate data. It has various tools which can transform, load, extract and manage the data. Source: CoolInterview.com
Question: What are aggregations?

Answer: Aggregations are precalculated numeric data. By calculating and storing the answers to a query before users ask for it, the query processing time can be reduced. This is key in providing fast query performance in OLAP. Source: CoolInterview.com
Question: What is Core Dimension?

Answer: Core Dimension is a Dimension table, which is used dedicated for single fact table or Datamart. Conform Dimension is a Dimension table which is used across fact tables or Data marts. Source: CoolInterview.com

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