REPRESENTING THE WORLD OF EDUCATION PILLAIS HOC POLYTECHNIC,RASAYANI.

DATA WARE HOUSING AND DATA MINING REPRESENTED BY PILLALS HOC POLYTECHNIC,RASAYANI.

Prepared by: SAGAR KAMBLE& SNEHESH BHOIR.

CONTENTS:DATA WARE HOUSING & DATA MINING ABSTRACTINTRODUCTIONDESCRIPTIONADVANTAGE & DISADVANTAGERESULTCONCLUSION

DATA WAREHOUSING

WHAT IS DATA WAREHOUSING? WHAT IS MECHANISM OF IT ?WHAT ARE THE FEATURES OF ITS? ADVANTAGE AND DISADVANTAGE RESULT AND CONCLUSION.REFERENCES.WHAT IS DATA WAREHOUSING? A data warehouse is-Subject-oriented,-Integrated,-Time-variant,-Non-volatile -Collection of data in support of management -Decision making process.WHAT IS THE MECHANISH OF IT?Data Warehouse EngineOptimized LoaderExtractionCleansing

AnalyzeQueryMetadata RepositoryRelationalDatabasesLegacyDataPurchased DataERPSystems5WHAT ARE THE FEATURES OF IT?Finding Source DataCleaning DataManaging WareHouseNon-VolatileData Granularity

ADVANTAGE & DISADVANTAGE ADVANTAGE:High query performanceBut not necessarily most current informationDoesnt interfere with local processing at sourcesComplex queries at warehouseOLTP at information sourcesInformation copied at warehouseCan modify, annotate, summarize, restructure, etc.Can store historical informationSecurity, no auditingHas caught on in industry

DISADVANTAGE:COMPLETE MAINTENCE IS REQUIRED.

USES.IN BANKINGIN BIG INSTITUTIONEtc.EXAMPLES.Harrahs Entertainments Data Warehouse holds 30 terabytes, or 30 trillion bytes of data, roughly three times the number of printed characters in the Library of CongressCasinos, retailers, airlines, and banks are piling up data so vast, it would have been unthinkable years ago; result from the curse of cheap storage

RESULT & CONCLUSIONRESULT:It is a platform for consolidated historical data for analysis.It stores data of good quality so that knowledge worker can make correct decisions.

12Warehouses are Very Large Databases(result)35%30%25%20%15%10%5%0%5GB5-9GB10-19GB50-99GB250-499GB20-49GB100-249GB500GB-1TBInitialProjected 2Q96Source: META Group, Inc.RespondentsCONCLUSION:A Data Warehouse is a collection of integrated subject-oriented databases designed.The metadata is information that is kept about the warehouse.

REFERANCES.IIT BOMBAY PPT.WWW.WIKIPEDIA.COMLOCAL SITESDATA WAREHOUSING BY Enricon Franconi

DATA MINING

DATA MININGWHAT IS DATA MININGWHAT IS THE MECHANISM OF IT?WHAT ARE THE USESWHAT MAKES DATA MINING POSSIBLERESULTS AND CONCLUSIONREFERENCES

WHAT IS DATA MININGData mining refers to extracting or mining knowledge from large amounts of data . It is process of discovering interesting knowledge from large amounts of data stored either in databases ,data warehouses, or other information

WHAT IS THE MECHANISM OF IT?Data Mining provides the Enterprise with intelligence

Data Mining works with Warehouse Data

Data Mining provides the Enterprise with intelligence

USESThe US Government uses Data Mining to track fraudA Supermarket becomes an information brokerBasketball teams use it to track game strategyCross SellingWarranty Claims RoutingHolding on to Good CustomersWeeding out Bad Customers WHAT MAKES DATA MINING POSSIBLEAdvances in the following areas are making data mining deployable:data warehousing better and more datathe advent of new data mining techniquesRESULT-KNOWLEDGE DISCOVERY IN DATABASEGeologyPhysical GeographyGeophysicsSoil scienceOceanographyGlaciologyAtmospheric science

CONCLUSIONFETCHING DATA WITH RULES

REFERENCESWWW.WIKIPEDIA.COMDATA MINING BOOKS-TATA MCGRAW HILL,Questions?