CSPP 53017: Data Warehousing Winter 2013! Lecture 7! Svetlozar Nestorov! Class News!
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1 CSPP 53017: Data Warehousing Winter 2013! Lecture 7! Svetlozar Nestorov! Class News! Make-up class on Saturday, Mar 9 in Gleacher :30am 1:30pm.! Last 15 minute in-class quiz (6:30pm) on Mar 5.! Covers the first seven lectures, project submissions and the Gradiance homework.! Open book/notes! 1!
2 The Business Dimensional Lifecycle! Technical Architecture Design! Product Selection & Installation! Business! Project Planning! Requirement! Definition! Dimensional Modeling! Physical Design! Data Staging Design & Development! Deployment! Maintenance and Growth! End-User Application Specification! End-User Application Development! Utilization! Project Management! OLAP! Online transaction processing OLTP - updating (i.e. inserting, modifying and deleting) querying and presenting data from databases for operational purposes! Online analytical processing (OLAP) - querying and presenting data from data warehouses and/or data marts for analytical purposes! 2!
3 OLAP and Business Intelligence! Designed for analysis of dimensionally modeled data! Regardless of which data warehousing approach is chosen, the data that is accessible by the end user is typically structured as a dimensional model! OLAP/BI tools can be used on analytical data stores created with different modeling approaches! OLAP/BI tools as an interface to data warehouses modeled using different approaches! 3!
4 OLAP/BI Tools! Allow users to query fact and dimension tables by using simple point-and-click querybuilding applications! Based on the point-and-click actions by the user of the OLAP/BI tool, the tool writes and executes the code in the language of the data management system (e.g. SQL) that hosts the data warehouse or data mart that is being queried! A typical OLAP/BI tool query construction space! 4!
5 OLAP Query 1! For each individual store, show separately for male and female shoppers the number of product units sold for each product category! Example Star Schema! 5!
6 Dimension Table Example Data Fact Table Example Data 6!
7 OLAP Query 1 - OLAP/BI tool query construction actions! OLAP Query 1: Result! 7!
8 Basic OLAP Tool Features! Slice and Dice! Pivot (Rotate)! Drill Down / Drill Up! Slice and Dice! Adds, replaces, or eliminates specified dimension attributes (or particular values of the dimension attributes) from the already displayed result! 8!
9 OLAP Query 1: Result starting point! OLAP Query 2! For each individual store, show separately for male and female shoppers the number of product units sold for each product category! For stores 1 and 2, show separately for male and female shoppers the number of product units sold for each product category! 9!
10 OLAP Query 2: Result! OLAP Query 3! For each individual store, show separately for male and female shoppers the number of product units sold for each product category! For each individual store, show separately for male and female shoppers the number of product units sold on workdays and on weekends/holidays! 10!
11 OLAP Query 3: Result! Pivot! Reorganizes the values displayed in the original query result by moving values of a dimension column from one axis to another! 11!
12 OLAP Query 4! For each individual store, show separately for male and female shoppers the number of product units sold for each product category!???! OLAP Query 4: Result! 12!
13 Drill Down and Drill Up! Drill Down! Makes the granularity of the data in the query result finer! Drill Up! Makes the granularity of the data in the query result courser Drill Hierarchy! Set of attributes within a dimension where an attribute is related to one or more attributes at a lower level but only related to one item at a higher level! For example:! StoreRegionName StoreZip StoreID! ProductCategoryName ProductName ProductID! Used for drill down/drill up operations! 13!
14 OLAP Query 5! For each individual store, show separately for male and female shoppers the number of individual product units sold! OLAP Query 5: Result! 14!
15 OLAP Query 5: Result Drill Up! OLAP/BI Tools! Require dimensional organization of underlying data for performing basic OLAP operations (slice, pivot, drill)! Additional OLAP/BI Tool functionalities:! Graphically visualizing the answers! Creating and examining calculated data! Determining comparative or relative differences! Performing exception analysis, trend analysis, forecasting, and regression analysis! Number of other analytical functions! Many OLAP/BI tools are web-based! 15!
16 OLAP Query 1: Result! Result Visualized As Chart! 16!
17 OLAP/BI Tools Usage! Two purposes:! Ad-hoc direct analysis of dimensionally modeled data! Creation of front-end (BI) applications! Data Warehouse/Data Mart Front-End (BI) Applications! Provides access to the data warehouse for indirect use! Chapter 9 Slide 33! DW system with front-end applications! 17!
18 Front-End Interface Example! Front-End Interface Example 2! 18!
19 Template Query Interface! Sample Results! 19!
20 Executive Dashboard! Intended for use by higher level decision makers within an organization! Contains an organized easy-to-read display of a number of critically important queries describing the performance of the organization! In general, the usage of executive dashboards should require little or no effort or training! Executive dashboards can be web-based! Example Executive Dashboard! 20!
21 DW Deployment! Releasing the created and populated data warehouse and its front-end (BI) applications for use by the end-users! Alpha release! Internal deployment of a system to the members of the development team for initial testing of its functionalities! Beta release! Deployment of a system to a selected group of users to test the usability of the system! Production release! The actual deployment of a functioning system! OLAP/BI Tools Database Models! OLAP/BI tools are designed for access of dimensionally modeled data! Dimensionally modeled data stores can be implemented as! Relational database model (database is a collection of tables)! Multidimensional database model (database is a collection of cubes )! 21!
22 Example Relational implementation of a fact table in a dimensional model! Example Multidimensional (cube) implementation of a fact table in a dimensional model! 22!
23 OLAP/BI Tools Data Architecture Options! Three common categories! Multidimensional online analytical processing - MOLAP! Relational online analytical processing ROLAP! Hybrid online analytical processing - HOLAP! MOLAP Architecture! 23!
24 ROLAP Architecture! HOLAP Architecture! 24!
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