CS 2032 DATA WAREHOUSING AND DATA MINING UNIT
- Slides: 27
CS 2032 DATA WAREHOUSING AND DATA MINING UNIT II BUSINESS ANALYSIS
Contents �Reporting and Query tools and Applications �Tool Categories �The Need for Applications �Cognos Impromptu �Online Analytical Processing (OLAP) �Need –Multidimensional Data Model �OLAP Guidelines �Multidimensional versus Multirelational OLAP �Categories of Tools �OLAP Tools and the Internet
Reporting and Query Tools and Applications � Tool Categories �Reporting Tools �Managed Query Tools �Executive Information System Tools �OLAP Tools �Data Mining Tools � The Need for Applications � Cognos Impromtu � Applications �Power. Builder �Forte �Information Builder
Reporting Tools �Production Reporting Tools �Let companies generate regular operational reports �Support high volume batch jobs �Calculating and Printing Paychecks(3 GL) �COBOL, Information Builders, Inc. ’s Focus(4 GL) �MITI’s SQR(High-end Client/Server Tools) �Desktop Report Writers �Let users design and run reports �Graphical Interfaces and Built-in charting functions �Crystal Reports, Actuate Reporting System, IQ objects
Managed Query Tools �Shield end users from the complexities of SQL and database structures �Meta layer �Support asynchronous query execution �Integrate with web servers �Embed OLAP and Data Mining Features
Executive Information System Tools �Predate report writers and managed query tools �First deployed on Mainframes �Allow to build customized, graphical decision support applications �Gives managers and executives a high level view of business and access to external sources �Eg: Pilot Software, Forest and Trees, Comshare, Oracle’s Express Analyzer
OLAP Tools �Provide and intuitive way to view corporate data �Aggregate data along common business objects �Users can drill down, across, or up levels in each dimension
Data Mining Tools �User variety of statistical and artificial-intelligence algorithms �Analyze the correlation of variables in the data and ferret out interesting patterns and relationships to investigate �Example �IBM’s Intelligent Miner �Data. Mind �Pilot’s Discovery Server �Offers simple UI’s – plug in directly to existing OLAP
The Need for Applications �Access Types to the data �Simple tabular from reporting �Ad hoc user-specified queries �Predefined repeatable queries �Complex queries �Ranking �Multivariable analysis �Time series analysis �Data visualization, graphing, charting, and pivoting �Complex textual search �Statistical analysis
Cognos Impromptu �Overview �The impromptu Information Catalog �Object-oriented architecture �Reporting �Impromptu Request Server �Supported Databases
Cognos Impromtu: Overview �Enterprise solution for interactive database reporting �Object oriented architecture �Ensures control and administrative consistency across all users and reports �GUI �Database reporting tool �Supports single user reporting / multi users reporting
Cognos Impromtu: Information Catalog �LAN based repository of business knowledge and data access rules �Insulates users from db technical aspects �Protects database �Presents the database in a easy way �Administrators are free to organize database items
Cognos Impromtu: OO Architecture � Drives inheritance based administration and distributed catalogs � Governors � Activities of Governors �Query activity �Processing location �Database connections �Reporting permissions �User profiles �Client/Server Balancing �Database Transactions �Security by value �Filed and table security
Cognos Impromtu: Reporting � Picklists and prompts � Custom templates � Exception reporting �Conditional filters �Conditional highlighting �Conditional display � Interactive reporting � Frames �List frame �Form frame �Cross-tab frame �Chart frame �Text Frame �Picture Frame �OLE Frame
Cognos Impromtu: Request Server �Allows client to off-load the query process to the server � Scheduling regular and recurring standard reports �Reducing network traffic �Runs on HP/UX 9. X, IBM AIX 4. X, Sun Solaris 2. 4 �Support data maintain in ORACLE 7. x and SYBASE System 10/11
On-Line Analytical Processing(OLAP)(1) �Need for OLAP �Multidimensional Data Model �OLAP Guidelines �Multidimensional versus Multirelational OLAP �Categorization of OLAP Tools �MOLAP �ROLAP �Managed Query Environment(MQE)
On-Line Analytical Processing(OLAP)(2) �State of the Market �Cognos Power. Play �IBI FOCUS Fusion �Pilot Software �OLAP Tools and the Internet
OLAP
OLAP
Multidimensional Data Model �Viewing data as in a cube
OLAP Guidelines 1. Multidimensional conceptual view 2. Transparency 3. Accessibility 4. Consistent reporting performance 5. Client/server architecture 6. Generic dimensionality 7. Dynamic sparse matrix handling 8. Multiuser support 9. Unrestricted cross-dimensional operations
Categorization of OLAP Tools �MOLAP �ROLAP
MOLAP
ROLAP
State of the Market �Cognos Power. Play �IBI FOCUS Fusion �Pilot Software
OLAP Tools and the Internet
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