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Data Warehouse Testing Participants
Who are the participants of data warehouse testing?
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Schema
What is the difference between snowflake and hybrid schema?
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M2M Dimensions in OLAP Cube
We have a situation in building an OLAP cube where there is a M2M relationship between two dimensions. An example could be Faculty and Department. We have actually measures that we are collecting so there is data in the cells (not just a flag=1). In other words, we are not talking about a factless fact. But a Professor (Faculty) can work in many Departments and a Department can have many Faculty (Professors)....
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Multidimensional Cube
Explain What is Multidimensional Cube?
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Late Arriving Fact and Late Arriving Dimension
What is late arriving fact and late arriving dimension?
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Replicate, Transparant and Linked Cubes
What are replicate, transparant and linked cubes?
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OLTP Hanging Application
All the users are complaining that their application is hanging. How you will resolve this situation in OLTP?
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Online Analytical Processing?
Online Analytical Processing A tool to evaluate and analyze the data in the data warehouse using analytical queries. A tool which helps organize data in the data warehouse using multidimensional models of data aggregation and summarization. Supports the data analyst in real time and enables online analysis of data with speed and flexibility.
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Compare Data Warehouse database and OLTP database?
The data warehouse and the OLTP data base are both relational databases. However, the objectives of both these databases are different. The OLTP database records transactions in real time and aims to automate clerical data entry processes of a business entity. Addition, modification and deletion of data in the OLTP database is essential and the semantics of the application used in the front end impact...
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What is the difference between Data Warehouse and online Analytical Processing?
Ralph Kimball the co-founder of the data warehousing concept has defined the data warehouse as a “"a copy of transaction data specifically structured for query and analysis”. Both definitions highlight specific features of the data warehouse. The former definition focuses on the structure and organization of the data and the latter focuses upon the usage of the data. However, a listing of the features...
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