Data Warehouses and Data Marts: A Dynamic View file:///E|/FrontPage Webs/Content/EISWEB/DWDMDV.html Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone‚ Ph.D. White Paper No. Three March 27‚ 1997 Patterns of Data Mart Development In the beginning‚ there were only the islands of information: the operational data stores and legacy systems that needed enterprise-wide integration; and the data warehouse: the solution to the problem of integration of diverse and often redundant
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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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Data warehousing and current trends Submitted to: Mr. S. Ramanathan TABLE OF CONTENTS 1. Executive Summary 2. Data warehousing basics‚ difference from database and its business implication 3. Data mining‚ businesses using it and how 4. ETL technology‚ businesses using it and how 5. Tools used 6. Data mart and difference in business implication 7. References EXECUTIVE SUMMARY This study takes an insight into the usage of data warehousing and data mining
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1. Go to teradatastudentnetwork.com and find the paper titled “Data Warehousing Supports Corporate Strategy at First American Corporation” (by Watson‚ Wixom‚ and Goodhue). Read the paper and answer the following questions: a. What were the drivers for the DW/BI project in the company? b. What strategic advantages were realized? c. What operational and tactical advantages were achieved? d. What were the critical success factors (CSF) for the implementation? 2. Go to fico.com. Use the information
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chain management are major challenges because many foods have relatively short shelf life than other products. This article give me an example of how Coca Cola Japan Group‚ which is using advanced data warehousing techniques provided by Teradata ‚ a hardware and software vendor specializing in data warehousing and analytic applications to improve the vending business. The article has three parts: The first part introduced Coca Cola Japan Group’s vending market faces new and increasing competition
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Data warehousing logical design Mirjana Mazuran mazuran@elet.polimi.it December 15‚ 2009 1/18 Outline Data Warehouse logical design ROLAP model star schema snowflake schema Exercise 1: wine company Exercise 2: real estate agency 2/18 Introduction Logical design Starting from the conceptual design it is necessary to determin the logical schema of data We use ROLAP (Relational On-Line Analytical Processing) model to represent multidimensional data ROLAP uses the relational
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Enhancing Customer Data Enhanced Customer Data Repository is a secure and fully supported data repository with problem determination tools and functions. It updates problem management records (PMR) and maintains full data life cycle management. · combination of all the internal structured business data (CRM‚ ERP‚ POS and all the internal system data) and external unstructured data ( Social media data‚ feedback surveys‚ Audios‚ Videos‚ streaming data‚ Call center data‚ images) · unmanageable volumes
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CUSTOMER DATA In the term of customer data‚ technology now day give a big role to evaluate the concepts by the overall to moving ownership of the customer when they are away from the individual departments and different it at the enterprise level. In the customer relationship management concept‚ individual that in the each department has responsible for the customer. The success factor for Customer Relationship Management (CRM) is by deploying technology that provides various levels of data access
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com/Articles.nsf/aid/BLACP01 11 Steps to Successful Data Warehousing Mining your corporate data for valuable customer information can improve your business performance. But it’s not as simple as it sounds. By Phillip Blackwood There are 4 reader comments on this topic. Add yours! More and more companies are using data warehousing as a strategy tool to help them win new customers‚ develop new products‚ and lower costs. Searching through mountains of data generated by corporate transaction systems can
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1. Describe "active" data warehousing as it is applied at Continental Airlines. Does Continental apply active or real-time warehousing differently than this concept is normally described? An active data warehousing‚ or ADW‚ is a data warehouse implementation that supports near-time or near-real-time decision making. It is featured by event-driven actions that are triggered by a continuous stream of queries that are generated by people or applications regarding an organization or company against
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