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Data Warehousing Interview 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:
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;
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:
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:
Question: What is active data warehousing?

Answer: An active data warehouse provides information that enables decision-makers within an organization to manage customer relationships nimbly, efficiently and proactively. Active data warehousing is all about integrating advanced decision support with day-to-day-even minute-to-minute-decision making in a way that increases quality of those customer touches which encourages customer loyalty and thus secure an organization's bottom line. The marketplace is coming of age as we progress from first-g Source:
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:
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:
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:
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:
Question: What is degenerate dimension table?

Answer: Degenerate Dimensions: If a table contains the values, which r neither dimension nor measures is called degenerate dimensions. For example invoice id, employee no.A degenerate dimension is data that is dimensional in nature but stored in a fact table. Source:
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:
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:
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:
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:
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.
Question: What is a Star Schema?

Answer: Star schema is a type of organizing the tables such that we can retrieve the result from the database quickly in the warehouse environment. Source:
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:
Question: What is difference between stored procedure transformation and external procedure transformation?

Answer: In case of storedprocedure transformation procedure will be compiled and executed in a relational data source.U need data base connection to import the stored procedure
in to u?r maping.Where as in external procedure transformation procedure or function will be executed out side of data source.Ie u need to make it as a DLL to access in u r
maping.No need to have data base connection in case of external procedure transformation Source:
Question: What is ODS?

Answer: 1. ODS means Operational Data Store.
2. A collection of operation or bases data that is extracted from operation databases and standardized, cleansed, consolidated, transformed, and loaded into an enterprise data architecture. An ODS is used to support data mining of operational data, or as the store for base data that is summarized for a data warehouse. The ODS may also be used to audit the data warehouse to assure summarized and derived data is calculated properly. The ODS may further becom Source:
Question: What is a general purpose scheduling tool?

Answer: The basic purpose of the scheduling tool in a DW Application is to stream line the flow of data from Source To Target at specific time or based on some condition. Source:

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Latest 20 Questions
Payment of time- barred debt is: (a) Valid (b) Void (c) Illegal (d) Voidable
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