intention with this paper is typically to target on the actual design connected with data warehouse in addition to modeling techniques like ER modeling and Dimensional modeling. Introduction A Data Warehouse is not just a new combination of all of the in business databases in an organization. Because of its attention on business intelligence, exterior data, and time variant information, a data warehouse is usually a special type of database. The good thing is, you should not learn another number
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Database Database is a collection of related data and data is a collection of facts and figures that can be processed to produce information. A database management system stores data in such a way that it becomes easier to retrieve, manipulate, and produce information. Characteristics * Real-world entity − A modern DBMS is more realistic and uses real-world entities to design its architecture. It uses the behaviour and attributes too. For example, a school database may use students as an entity
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Continental Airlines Flies High with its Real-Time Data Warehouse John Paul Barber Schreiner University MKTG 4324, Business Intelligence Dr. Mark D. Woodhull February 16, 2015 Continental Airlines is the fifth-largest carrier in the United States as well as the eleventh largest carrier company in the world. The airline company provides service to 84 domestic and 53 international locations resulting in over 2000 daily flights. This high level of demand creates a large obligation
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Systems Capstone Business Requirement Plan Currently our system consist of SQL database sitting on 5 Cisco servers onsite. I plan to have that changed to oracle databases in a virtual world and out sourcing the cloud storage. Our current data warehouse is at ten terabytes. This is expected to increase by twenty percent a year therefore this must also be taken into account when searching for a provider of cloud storage. This will save on cost of equipment and also space. This savings of cost and
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information necessary to run an organization. That becomes extremely challenging as more and more data is fed into the database from various sources and systems, including enterprise resource planning (ERP) and customer relationship management (CRM). Data warehouses built in the 1990s were simply large repositories of all types of knowledge, but the data wasn’t always easy to access. Now the trend is toward data integration in which the information that is being collected is easier to find and analyze. "What
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Head: DIFFERENCE BETWEEN DATABASE AND DATA WAREHOUSE 1 Database vs Data Warehouse Patricta Eric Doller Prudue University Relation Database Management Systems Bob Estein March 14, 2015 DIFFERENCES BETWEEN DATABASE AND DATA WAREHOUSE Relational database versus a data warehouse Businesses use new technology in many aspect of running everyday duties, like record keeping. To keep these records organized, companies have separate database and data warehouses. A database is used for a single application
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Enterprise Data Warehouse of ABC University TABLE OF CONTENTS Page CHAPTER 1. INTRODUCTion 3 A. BUSINESS INTELIGENCE 3 B. Data Warehouese 3 C. ETL 3 D. DATA Mart 3 CHAPTER 2. Enterprise 3 A. project plan 3 1. Data Requirements 3 2. Historical Requirements 3 3. Security Requirements 3 4. Performance Requirements 6 B. datAbase design criteria 6 1. The Theory 6 2. Data Modeling 6 3. Unique Identifier 6 4. Database type 6 C. etl process 6 1. Extraction: 6
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ETL_Notes - Pentaho Version ETL, which stands for Extract, Transform and Load, is the process to move data from a source to a destination. I use this generic definition, as the tools are not specific to data warehousing. ETL tools and processes can be used to migrate data in any data context from data warehousing to data migration on an OLTP system update. The rest of this document will focus specifically on ETL issues and issues related to Pentaho Kettle. A good resource for Penaho Kettle is http://wiki
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to SYSCO by providing statistical analysis, graphical representations and access to important data. With the use of dashboards, users at every level can easily access summaries of important information. BI software can combine data from separate warehouses and databases to help managers make better business decisions. With all the information centralized, managers save time when accessing other divisions’ databases. BI uses data mining to automatically sort through large pools of data to determine
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Review & Exercise (Ch1- Ch5) Chapter 1: The Nature of Customer Relationship Management MULTIPLE CHOICE 1. At the broadest level, the function of an enterprise’s marketing activities is to: a. generate ideas for new products b. conduct marketing research c. bring buyers and sellers together d. create marketing strategies e. promote the organization’s products 2. Which of the following terms communicates the idea that a major goal of a
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