deliverable from each phase Centralized vs Distributed Processing Unit Testing Integration Testing System Testing Chapter 11 Database Database Models Hierarchical Network Multi-dimensional Relational O-O Object-Relational DBMS Data Warehouse Data Mining Cardinality XML Normalization Primary Key Foreign Key SQL create database/table add‚ modify‚ delete data retrieve‚ join data Chapter 12 High-Level vs. Low-Level Languages 1st‚ 2nd‚ 3rd‚ 4th‚ and 5th Generation
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to create data warehouses— massive data stores of time-series data used for decision support. These organizations face a range of choices‚ both in terms software tools and development approaches. Making good choices requires an understanding of the two main data warehousing models— Inmon’s and Kimball’s. Bill Inmon advocates a top-down development approach that adapts Mary Breslin has worked in both user and IT roles and she is currently exploring Capella University’s data warehouse from the user
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1. Define‚ and illustrate using a diagram‚ the following: Primary Data Warehouse and Data Mart. In this connection‚ explain the difference between ROLAP and MOLAP. A Primary Data Warehouse is a central repository of a database of a complete organization. It holds multiple subject areas and very detailed information. A Data Mart is a subset or an aggregation of the data stored to a primary data warehouse. It often holds only one subject area – for example‚ a specific department‚ finance or sales.
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strengthening rivalry. There is considerable similarity in the merchandise offerings of all three clubs. The degree of product line differentiation is weak‚ which enhances rivalry. Threats of New Entrants—a weak competitive force The window to enter the warehouse club industry is pretty small unless an outsider opted to acquire BJ’s Wholesale Club with the intention of rapidly expanding into areas and states where there are currently no BJ’s locations. The barriers to a new entrant are high: Costco and Sam’s
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data warehouse and why is REI building one? A data warehouse can be described as a “database that stores current and historical data of potential interest to decision makers throughout a company. The data originate in many core operational transaction systems‚ such as systems for sales‚ customer accounts‚ and manufacturing‚ and may include data from Web site transactions.1” REI is building a data warehouse to improve the company and to meet the needs of the customers. REI’s data warehouse will
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retailer of automotive‚ sports and leisure‚ and home products. CTR business analysts have had the benefit of working with an information warehouse for the past nine years. However‚ numerous technological‚ organizational and people challenges associated with the information warehouse have lead to the realization that a complete redesign of the information warehouse is required. Students are required to analyse the business context of the BI initiative and identify the major challenges that will be associated
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results. They also use an auto word function‚ that is type in part of a phrase and Google will finish it for you depending on the trend. Data warehouses have a basic design with some variations. Data sources‚ warehouse and users make up the architect of the basic data warehouse. In our system we will be adding data marts and a staging area. The warehouse is where the data is kept. It consists of metadata‚ raw data and summary data. Metadata is data about the data in
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“Warehouse Club Wars” Costco vs Sams Club Table of Contents Introduction ……………………………………………………………………………………….3 Warehouse Business Model……………………………………...…………………………....3 Costco Background ……………………………………………………………………….……..5 Sam’s Club Background ……………………………………………………………….………..6 Competition and Market Position of Rivals ……………………..…………………….………..7 Comparision across Functional areas ………………………………………………….………..9 What is Cross docking ?……………………………………….………………………..13 What is Vendor Managed Inventory
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Q. 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
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Data warehousing and current trends. Data Warehouse A data warehouse is a relational database that is used for reporting and data analysis rather than for transaction processing. It usually contains historical data derived from transaction data‚ but it can include data from other sources. It separates analysis workload from transaction workload and enables an organization to consolidate data from several sources. In other words‚ the data in a data warehouse is made up of snapshots of a business’s
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