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13 1 Chapter 13 The Data Warehouse Database Systems: Design, Implementation, and Management, Seventh Edition, Rob and Coronel.

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Presentation on theme: "13 1 Chapter 13 The Data Warehouse Database Systems: Design, Implementation, and Management, Seventh Edition, Rob and Coronel."— Presentation transcript:

1 13 1 Chapter 13 The Data Warehouse Database Systems: Design, Implementation, and Management, Seventh Edition, Rob and Coronel

2 13 2 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Data Mining (continued)

3 13 3 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Data Mining (continued)

4 13 4 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel SQL Extensions for OLAP

5 13 5 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel The ROLLUP Extension

6 13 6 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel The CUBE Extension

7 13 7 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Materialized Views A dynamic table that contains not only the SQL query command to generate rows, but also stores actual rows Created the first time query is run and summary rows are stored in table Automatically update when base tables are updated

8 13 8 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Materialized Views (continued)

9 13 9 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Materialized Views (continued)

10 13 10 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Summary Decision support is methodology designed to extract information from data and to use such information as basis for decision making Decision support system is arrangement of computerized tools used to assist managerial decision making within business Operational data are not best suited for decision support Requirements for a DSS DBMS are divided into four main categories: database schema, data extraction and loading, end-user analytical interface, and database size requirements

11 13 11 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Summary (continued) Data warehouse is integrated, subject- oriented, time-variant, nonvolatile database that provides support for decision making OLAP is advanced data analysis environment that supports decision making, business modeling, and operations research ROLAP provides OLAP functionality by using relational databases and familiar relational query tools to store and analyze multidimensional data

12 13 12 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Summary (continued) Star schema is data-modeling technique used to map multidimensional decision support data into relational database Four techniques generally used to optimize data warehouse design: normalizing dimensional tables, maintaining multiple fact tables representing different aggregation levels, denormalizing fact tables, and partitioning and replicating tables

13 13 Database Systems: Design, Implementation, & Management, 7 th Edition, Rob & Coronel Summary (continued) Data mining automates analysis of operational data with intention of finding previously unknown data characteristics, relationships, dependencies, and/or trends SQL has been enhanced with extensions that support OLAP type processing and data generation


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