insight into the usage of data warehousing and data mining techniques to enhance the productivity of the business. The study of the processes is analysed so as to get the need of adaptation according to inherent demands of these industries in near future. The main topics we are discussing here are: a) Data warehousing b) Data Mining c) ETL d) Data Mart An attempt has been made to analyse different ways of using these for the enhancement in the different field. Data warehousing and current
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Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
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Carphone Warehouse Group plc; also known as The Carphone Warehouse (or ‘The Phone House’ in the rest of Europe)‚ is Europe’s largest independent mobile phone retailer‚ with 2144 retail stores across Europe. They sell both contract mobile phones and pay as you go mobile phones and now tablets‚ such as the iPad and Samsung Galaxy Tab and also E-Readers. The head office of The Carphone Warehouse Group plc is based in London‚ United Kingdom. At the current moment in time‚ The Carphone Warehouse is doing
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1. With necessary diagram explain about data warehouse development life cycle . Ans : Introduction to data warehouses. Data warehouse development lifecycle (Kimball’s approach) Q. 2. What is Metadata ? What is it’s uses in Data warehousing Archietechture ? Ans : In simple terms‚ meta data is information about data and is critical for not only the business user but also data warehouse administrators and developers. Without meta data‚ business users will be like tourists left
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era of big data Manage‚ optimize and increase availability of your IBM DB2 for Linux‚ UNIX and Windows database and applications— delivering valuable intelligence to help your business users make informed decisions‚ fast Database management solutions for the era of big data 1 Introduction Accelerate development 2 Optimize performance 3 4 Increase availability 5 Give your business a competitive edge Database management solutions for the era of big data Introduction
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Big Data‚ Data Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse
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COMPETITION AMONG THE NORTH AMERICAN WAREHOUSE CLUBS Costco All wholesale clubs (Costco‚ Sam’s Club‚ and BJ’s Wholesale) offer low prices to attract members and provide them with considerable cost savings enough to more than cover membership fees. The rivalry among them is vigorous and will remain so. All 3 club rivals are aggressively pursuing top-line revenue growth; chiefly by opening new stores‚ attracting more members at both new and existing stores‚ and endeavoring to grow sales revenues
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Data warehousing is the process of collecting data in raw form for analyzing trends. The benefits to data warehousing are improved end-user access‚ increased data consistency‚ various kinds of reports can be made from the data collected‚ gather the data in a common place from separate sources and additional documentation of data. Potential lower computing costs‚ increased productivity‚ end-users can query the database without using overhead of the operational systems and creates an infrastructure
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university CASE STUDY OF DATA MINING Summitted by Jatin Sharma Roll no -32. Reg. no 10802192 A case study in Data Warehousing and Data mining Using the SAS System. Data Warehouses The drop in price of data storage has given companies willing to make the investment a tremendous resource: Data about their customers
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Case 4: Competition among the North American Warehouse Clubs: Costco Wholesale vs. Sam’s Clubs vs. BJ’s Wholesale 1. Competition in the North American wholesale club industry is mildly intense. The players in the wholesale club industry try to achieve lower prices by reducing throughout the store by using pallets or inexpensive shelving to display items. They also incur very low costs for store decoration and light fixtures and a relatively low labor cost because of the use of fewer works and
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