logging in or signing up DataWare House and Data Mining roselover_786 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 15463 Category: Education License: All Rights Reserved Like it (12) Dislike it (5) Added: September 25, 2008 This Presentation is Public Favorites: 9 Presentation Description introduction to data warehouse and data mining Comments Posting comment... By: roselover_786 (38 month(s) ago) ok i will try to send you slides in a day or two.sorry for late.actually i check my log in at author stream after a long time.many other IT subject slides are also available.from now onward i am not going to check author stream, if any one need just add me email at: email@example.com with subject "data mining slides required" or "required subject name" i will try to reply you OK and best of luck for your studies. Saving..... Post Reply Close Saving..... Edit Comment Close By: sksubudhi5 (39 month(s) ago) I do like this ppt...... its very nice, informative and helpful...... pls. send the ppt to my mail id. "firstname.lastname@example.org" Saving..... Post Reply Close Saving..... Edit Comment Close By: nagasairavu (40 month(s) ago) nice........ Saving..... Post Reply Close Saving..... Edit Comment Close By: fayazbasha (46 month(s) ago) hi sir.............. can u please mail me this on my email address email@example.com Saving..... Post Reply Close Saving..... Edit Comment Close By: muhammad1 (55 month(s) ago) very nice really a great effort Saving..... Post Reply Close Saving..... Edit Comment Close Premium member Presentation Transcript Data Warehousing/Mining Introduction : Data Warehousing/Mining Introduction Outline of Lecture : Outline of Lecture Brief History of Data Warehousing What is a Data Warehouse? Need For Strategic Information Information Crisis Operational and Decision Support System Difference B/W standard DB and Data warehouse Data Warehouse Evolution : Data Warehouse Evolution TIME 2000 1995 1980 1960 1975 Information- Based Management Data Revolution “Middle Ages” “Prehistoric Times” Relational Databases PC’s and Spreadsheets End-user Interfaces 1st DW Article DW Confs. Vendor DW Frameworks Company DWs “Building the DW” Inmon (1992) Data Replication Tools 1985 1990 Escalating Need For Strategic Information : Escalating Need For Strategic Information Organizations need information to formulate the business strategies,establish Goals,set Objectives e.g. Increase the customer by 10% over the next 5 years Gain market share by 15% in the next 2 years Increase product quality levels in the top five product groups The Information Crisis : The Information Crisis Information is said to be doubled every 18 months Organizations have tons of data available Then why information Crisis? Why cant organizations convert the data into useful information for strategic decision making? Problem: Heterogeneous Information Sources : Problem: Heterogeneous Information Sources “Heterogeneities are everywhere” Different interfaces Different data representations Diverse structure of databases Duplicate and inconsistent information Personal Databases Digital Libraries Scientific Databases World Wide Web About Some Definitions : About Some Definitions What is data? What is information? What is Warehouse? What is a Data Warehouse?A Practitioners Viewpoint : What is a Data Warehouse?A Practitioners Viewpoint “A data warehouse is simply a single, complete, and consistent store of data obtained from a variety of sources and made available to end users in a way they can understand and use it in a business context.” -- Barry Devlin, IBM Consultant A Data Warehouse is... : A Data Warehouse is... Stored collection of diverse data A solution to data integration problem Single repository of information Subject-oriented Organized by subject, not by application Used for analysis, data mining, etc. Large volume of data (Gb, Tb) Non-volatile Historical Time attributes are important A Data Warehouse is... (continued) : A Data Warehouse is... (continued) Updates infrequent Examples All transactions EVER at WalMart Complete client histories at insurance firm Stockbroker financial information and portfolios Summary : Summary Operational Systems Data Warehouse Population Data Warehouse Business Information Interface What is Operational and Decision Support System : What is Operational and Decision Support System Operational Systems Making the wheels of Business Turn Take an order Process a claim Make shipment Generate an invoice Receive cash Reserve an airline seat What is Operational and Decision Support System (Contd…) : Decision Support System Watching the wheels of business turn Show the top selling products Show the problem regions Tell me why (drill down) Let me see other data (drill across) Alert me when a district sells below target What is Operational and Decision Support System (Contd…) Difference : Difference Operational Current Values Optimized for transaction High Read, update, delete Predictable, repetitive Sub seconds Large Number Informational Archived, derived, optimized Optimized for complex queries Medium to Low Read Ad hoc, random, Heuristic Several Seconds to Minutes Relatively Small number Data Content Data Structure Access Frequency Access Type Usage Response Time Users Warehouse is a Specialized DB : Warehouse is a Specialized DB Standard DB Mostly updates Many small transactions Mb - Gb of data Current snapshot Index/hash on p.k. Raw data Thousands of users (e.g., clerical users) Warehouse Mostly reads Queries are long and complex Gb - Tb of data History Lots of scans Summarized, reconciled data Hundreds of users (e.g., decision-makers, analysts) Warehousing and Industry : Warehousing and Industry Warehousing is big business $2 billion in 1995 $3.5 billion in early 1997 About $8 billion in 1998 [Metagroup] WalMart has largest warehouse 900-CPU, 2,700 disk, 23 TB Teradata system ~7TB in warehouse 40-50GB per day Data Warehousing: Two Distinct Issues : Data Warehousing: Two Distinct Issues (1) How to get information into warehouse “Data warehousing” (2) What to do with data once it’s in warehouse “Warehouse DBMS” Both rich research areas Industry has focused on (2) Thank You Very Much : Thank You Very Much You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.