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Data Warehousing is the process of extracting and storing data to allow easier reporting. Whereas Data mining is the use of pattern recognition logic to identify trends within a sample data set a typical use of data mining is to identify fraud and to flag unusual patterns in behavior.
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Apr 29 2020 · Data mining is usually done by business users with the assistance of engineers while Data warehousing is a process which needs to occur before any data mining can take place Data mining allows users to ask more complicated queries which would increase the workload while Data Warehouse is complicated to implement and maintain.
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Data Warehouse And Data MiningDec 2012. Computer Engineering (Semester 6) TOTAL MARKS 100 TOTAL TIME 3 HOURS (1) Question 1 is compulsory. (2) Attempt any four from the remaining questions. (3) Assume data wherever required. (4) Figures to the right indicate full marks. 1 (a) Consider the following database for a chain of bookstores -
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Each question should each have a word count of 150 words or more ease provide appropriate foundational knowledge be factual and enhance the dialogue ease do not recite the same words just to provide word count . Question One What are the two most important functions of data warehousing and data mining in business intelligence Explain.
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Alex Berson and Stephen J.Smith ―Data Warehousing Data Mining OLAP‖ Tata McGrawHill Edition 35th Reprint 2016. K.P. Soman Shyam Diwakar and V. Ajay ―Insight into Data Mining
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Data Warehousing and Data Mining–Question Bank–2012 . Data Warehousing and Data Mining–Question Bank–2012 Edition Anna University Diagrammatically illustrate and discuss the data warehousing architecture with briefly explain components of data warehouse 16 4 i Distinguish between Data warehousing and data mining State why the data preprocessing an important issue for data
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ETL Process in Data Warehouse ETL is a process in Data Warehousing and it stands for Extract Transform and Load . It is a process in which an ETL tool extracts the data from various data source systems transforms it in the staging area and then finally loads it into the Data Warehouse system.
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Mar 26 2020 · (Nov/Dec 2012) IT6702 Important Questions Data Warehousing and Data Mining 3 Give detailed information about Meta data in data warehousing. (May/June 2014) 4 List and discuss the steps involved in mapping the data warehouse to a multiprocessor architecture.
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