Data Warehousing

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“Data Warehousing Interview Questions and Answers will guide now that Data warehouse is a repository of an organizations electronically stored data. Data warehouses are especially designed to facilitate reporting and analysis about the data of any organization. So learn Data Warehousing concepts by Data Warehousing Interview Questions and Answers and get preparation of Data Warehousing Jobs Interview.”



131 Data Warehousing Questions And Answers

101⟩ What is Execution Plan?

The combination of the steps the optimizer chooses to execute a statement is called an execution plan.

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103⟩ What is the difference between OLAP and OLTP?

OLAP stands for online analytical processing. In this, we have access to live data. This process contains historical information to analyze. Data needs to be integrated. We can create reports that are multi-dimensional, supported by time-based analysis and ideal for applications with unpredictable, ad hoc query requirements.OLTP stands for online transaction processing. OLTP databases are fully normalized and are designed for consistently store operational data, one transaction at a time. It performs day-to -day operations and not support historical data.

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104⟩ What are data modeling and data mining? Where it will be used?

Data modeling is the process of designing a data base model. In this data model data will be stored in two types of table fact table and dimension table

Fact table contains the transaction data and dimension table contains the master data. Data mining is process of finding the hidden trends is called the data mining.

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105⟩ What is the difference between aggregate table and materialized view?

Aggregate tables are pre-computed totals in the form of hierarchical multidimensional structure., whereas materialized view ,is an database object which caches the query result in a concrete table and updates it from the original database table from time to time .Aggregate tables are used to speed up the query computing whereas materialized view speed up the data retrieval .

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107⟩ What is a data profile?

Data profiling is a way to find out what is the profile of the information contained in the source. E.g. In a table a column may be defined as alphanumeric. However, majority of the data may be numeric. Profiling tools will provide the statistical information about how many records have pure no. populated as against no. of records with alphanumeric data.Before data migration exercise, these tools provide vital clues about whether the exercise is going to be a success or a failure. This can help is changing the target schema or applying cleanse at the source level so that most of the records can get in the destination database.In DW these tools are used at the design stage for the same purpose. Some tool vendors who sell this as a product call this as data discovery phase.

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108⟩ What is Virtual Data Warehousing?

A virtual or point-to-point data warehousing strategy means that end-users are allowed to get at operational databases directly using whatever tools are enabled to the "data access network"

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115⟩ Where the Data cube technology is used?

A multi-dimensional structure called the data cube. A data abstraction allows one to view aggregated data from a number of perspectives. Conceptually, the cube consists of a core or base cuboids, surrounded by a collection of sub-cubes/cuboids that represent the aggregation of the base cuboids along one or more dimensions. We refer to the dimension to be aggregated as the measure attribute, while the remaining dimensions are known as the feature attributes.

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118⟩ What is critical column?

Let us take one ex: Suppose 'XYZ' is customer in Bangalore, he was residing in the city from the last 5 years, in the period of 5 years he has made purchases worth of 3 lacs. Now, he moved to 'HYD'. When you update the 'XYZ' city to 'HYD' in your Warehouse, all the purchases by him will show in city 'HYD' only. This makes warehouse inconsistent. Here CITY is the Critical Column. Solution is use Surrogate Key.

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119⟩ What is data analysis? Where it will be used?

Data analysis: consider that you are running a business and u store the data of that; in some form say in register or in a comp and at the year end you want know the profit or loss then it called data analysis .Data analysis use: then u want to know which product was sold the highest and if the business is running in a loss then finding, where we went wrong we do analysis.

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