IBM Software Database management solutions for the 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
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Analysis * Data warehouses are useless without software tools * Process data into information * Business intelligence (BI): information gleaned with information tools Data Mining * Data mining: selecting‚ exploring‚ and modeling data * * Supports decision making * Finds relationships and ratios within data * Finds unknown relationships * * Queries are more complex than traditional * Combination of data-warehouse and data-mining facilitates
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almost $71 billion at 544 warehouses in 40 states‚ Puerto Rico‚ Canada‚ the United Kingdom‚ Taiwan‚ Japan‚ Korea‚ and Mexico. More than 50 of Costco’s warehouses generated sales exceeding $200 million annually and 2 stores had sales exceeding $300 million. Sales per store averaged $130 million annually‚ about 75 percent more than the $75 million per store average at Sam’s Club‚ Costco’s chief competitor in the membership warehouse retail segment. The membership warehouse concept was pioneering by
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summarised. Page 284 a.fine b.Raw c.finised d.Coarse-건우형이 이거 골라서 햇는데 여기서 틀린것같음 ps. 빨강색 글씨는 틀려서 우리가 고쳐놓고 맞은거야 13) A data warehouse also contains a special database that stores the ________‚ which records the data’s source‚ history‚ format and constraints. Page 283 Metadata 14) Sometimes‚ large organisations break out ________ from their data warehouses so they can be used for a specific functional area of the organisation like marketing or
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business intelligence to align business operations with the tactical and strategic goals of the organization. This is achieved by extracting transaction data‚ and integrating it in a data warehouse for processing by BI performance management applications. These BI applications convert the integrated‚ but raw‚ warehouse data into actionable business information that shows how actual business performance compares with business goals and forecasts. Business users employ their business expertise to evaluate
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1980s - Telecommunications‚ retailing and financial services industries built warehouses to store vast amounts of customer and sales-related data - These industries remain leaders in terms of the size of the warehouses and how the warehouses are used - Data-centric approach : support a variety of applications 3. In 2000 - the movement to real-time data warehousing - changes in the way that warehouse data is used - different : * Previous : data aims to understand what had already
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strategy could be implemented with Data warehouse technology which called VISION. 2. Describe the FAC warehouse project. In short‚ the FAC warehouse project can be described as a 4steps. First‚ Collect internal and external raw data from many data sources. Second‚ Examine this raw data validity and purify the data by data extraction and transformation to store data into Data warehouse. Third‚ Analyze these data which stored and shared by the data warehouse to get proper and valuable information
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4. Traditional databases are not well suited for managing messy data such as customer comments and tweets. 5. An ad-hoc request for specific data or information from a database or warehouse is called a report. 6. An ad-hoc request for specific data or information from a database or warehouse is called a query. 7. Many database management systems use the Structured Query Language (SQL) for programming queries. 8. Many database management systems use the Syntax Query Language
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Management Systems Operations of a Relational DBMS Capabilities of Database Management Systems Object-Oriented Databases Databases in the Cloud 5.3 Using Databases to Improve Business Performance and Decision Making Data Warehouses What Is a Data Warehouse? Data Marts Tools for Business Intelligence: Multidimensional Data Analysis and Data Mining Data Mining Databases and the Web 5.4 Managing Data Resources Establishing an Information Policy Ensuring Data Quality
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increase the revenue. b. Fund the Future: Demand-driven dispatch application by data warehouse can make adjustment to minimized impact and create maximum profit. c. Make Reliability a Reality: Use data warehouse to analysis the most valuable customers and provide other services such as Elite Access‚ Elite upgrade monitoring to achieve customer satisfication. d. Working Together: The data warehouse supports the culture by providing employees with information and tools that they can use
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