IBM DB2 Universal Database ® ™ Business Intelligence Tutorial: Extended Lessons in Data Warehousing V ersion 8 IBM DB2 Universal Database ® ™ Business Intelligence Tutorial: Extended Lessons in Data Warehousing V ersion 8 Before using this information and the product it supports, be sure to read the general information under Notices. This document contains proprietary information of IBM. It is provided under a license agreement and is protected by copyright law. The
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virtualization ii. Desktop virtualization iii. Server virtualization d. Other terms i. RAM ii. CPU iii. Memory 1. Volatile memory 2. Nonvolatile memory a. 3. Week 11 Enterprise information systems focus on data warehouse Important terms and concepts i. Definitions and purposes of data warehouse ii. Definitions of data mart iii. Data ware data type iv. Metadata 4. Week 9 Data Communication a. Types of networks i. Pan/Lan/Can/Wan/Man ii. Bluetooth, WiFi, WiMax iii. Terms/concepts 1. Packet switching
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Data Warehouse A data warehouse has many different processes that require several different technologies. Batch and transaction processing data has to first be taken out of the operational databases and then it can be cleaned up. Then the data is uploaded onto a relational database. Data warehouses are the basis for customer relationship management systems because they can be used for consolidating customer data and identifying areas of customer satisfaction and frustration. These warehouses
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Question: 1. When developing a successful data warehouse, what are the most important risks and issues to consider and potentially avoid? Data warehouse projects have many risks. Most of them are also found in other IT projects, but data warehousing risks are more serious because data warehouses are expensive, time-and-resource demanding, large-scale projects. Each risk should be assessed at the inception of the project. When developing a successful data warehouse, it is important to carefully consider
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To better understand why REI decided to work with IMB’s data warehouse technology, I think we need to understand what exactly IBM’s DB2 9 (data base 2 and also known as “Viperâ€) does with its software. IBM’s DB2 9 software can be utilized through Linux, UNIX (AIX, Solaris, and HP-UX), Windows, Mac OS, i5/OS, and z/OS. It is an enterprise –class data server that delivers hybrid data management for XML data and relational data in the same data base. It offers state of the art security as
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Chapter 12 Enhancing Decision Making Case 2: IBM and Cognos: Business Intelligence and Analytics for Improved Decision Making Tags: business decision making; business intelligence software; decision support systems; management reporting systems; executive dashboards; mobile delivery platforms. Summary In this video from the National Association of Broadcasters (NAB), Dan Fulwiler and Steve Segalewitz from IBM, discuss how understanding your online data more clearly can improve decision-making
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Competition among the North American Warehouse Clubs: Costco Wholesale versus Sam's Club versus BJ's Wholesale The company competitive strategy are the specific moves that help the company please the customers, make offensive and defensive moves to beat the competition, and how it responds to changing market conditions. The five generic competitive strategies describe the five methods firms use to generate their strategic options. Firms use a low-cost provider strategy, a focused
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DATA WAREHOUSE A data warehouse is a logical collection of information gathered from different operational databases and used to create business intelligence that supports decision making tasks and business analysis activities. Walmart is known for having the biggest data warehouse used, which is larger then 4 Petabytes. Wal-Mart is very secretive about their data warehouse. After achieving a major milestone Teradata, Wal-Mart’s data warehouse supplier, was given permission to announce a few shallow
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merchandise classes. This is an awfully appealing business model because it provides the power to control fruitfully at a lot of lower profit margin by securing marketer volume getting agreements, economical distribution, no-frill self-service warehouse facilities and supplemental membership fee revenue. Another magnet is because of the high sales volume and fast inventory turnover style of this business model, the accelerated money conversion cycle permissible Costco to gather the funds for inventory
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Analytics as a Service POV Bhagyashree V1 The no-pain route to analytics Analytics, the trend sweeping businesses There is a new corner office and it belongs to the Chief Analytics Officer (CAO). For businesses with access to large data streams, analytics holds the key to making fast and accurate decisions. CAOs can now use data for a variety of purposes. It can help manage operational efficiencies, discover customer needs, identify new markets, give shape to new products and value-added services
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