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DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley...

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DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Paul Bradley Principal, Data Mining Principal, Data Mining Technology Technology Apollo Data Technologies Apollo Data Technologies
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Page 1: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

DAT377Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”)

DAT377Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”)

Paul BradleyPaul BradleyPrincipal, Data Mining TechnologyPrincipal, Data Mining TechnologyApollo Data TechnologiesApollo Data Technologies

Page 2: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Data Mining TodayData Mining Today

Fastest growing BI Segment (IDC)Fastest growing BI Segment (IDC)Data Mining Tools: $1.85B in 2006Data Mining Tools: $1.85B in 2006

Mainstream EmergenceMainstream EmergenceE-commerce (e.g., Amazon.com)E-commerce (e.g., Amazon.com)

Search (e.g., Vivisimo.com)Search (e.g., Vivisimo.com)

Press: “Airline Gave Government Information on Press: “Airline Gave Government Information on Passengers” [NYT, 1/18/2004]Passengers” [NYT, 1/18/2004]

Politics: Data Mining Moratorium ActPolitics: Data Mining Moratorium Act

SQL-Server is in a unique position to service SQL-Server is in a unique position to service market needsmarket needs

Page 3: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Data Mining OperationsData Mining Operations

Explore Your DataExplore Your Data

Identify Patterns and TrendsIdentify Patterns and Trends

Act on Patterns and TrendsAct on Patterns and Trends

Page 4: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

ApplicationsEmbedded Data MiningApplicationsEmbedded Data Mining

Make Decisions without CodingMake Decisions without CodingLearn business rules directly from dataLearn business rules directly from data

Client CustomizationClient CustomizationLearn logic customized for each clientLearn logic customized for each client

Automatic UpdateAutomatic UpdateData mining application logic updated by Data mining application logic updated by model re-processingmodel re-processing

Applications do not need to be rewritten, Applications do not need to be rewritten, recompiled, re-deployedrecompiled, re-deployed

Page 5: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Yukon (SQL Server 2005)BI PlatformYukon (SQL Server 2005)BI Platform

Analysis ServicesAnalysis ServicesOLAP & Data MiningOLAP & Data Mining

Data TransformationData TransformationServicesServices

ETLETL

SQL ServerSQL ServerRelational EngineRelational Engine

Reporting ServicesReporting Services Man

agem

ent T

oo

lsM

anag

emen

t To

ols

Dev

elo

pm

ent

To

ols

Dev

elo

pm

ent

To

ols

Page 6: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Microsoft Data MiningMicrosoft Data Mining

SQL 2000

SQL 2000

SQL 2005

SQL 2005

Enter the GameEnter the Game Create industry standardCreate industry standard Target developer audienceTarget developer audience V1.0 product with 2 V1.0 product with 2

algorithmsalgorithms

Win LeadershipWin Leadership Continue standards and Continue standards and

developer effortdeveloper effort Comprehensive feature setComprehensive feature set Penetrate the EnterprisePenetrate the Enterprise Thought leadershipThought leadership

Page 7: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Value Of Data MiningValue Of Data Mining

SQL-Server 2005

OLAP OLAP

Reports (Adhoc)Reports (Adhoc)

Reports (Static)Reports (Static)

Data MiningData Mining

Business KnowledgeBusiness Knowledge

Easy DifficultEasy Difficult

UsabilityUsability

Rel

ativ

e B

us

ine

ss V

alu

eR

elat

ive

Bu

sin

ess

Val

ue

Page 8: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

“Enabling”“Enabling”

Provide a toolset that is accessible to Provide a toolset that is accessible to a wide range of disciplinesa wide range of disciplines

Provide data mining at a price point to Provide data mining at a price point to achieve wide market penetrationachieve wide market penetration

Provide database metaphors for Provide database metaphors for managing, distributing learned managing, distributing learned knowledgeknowledge

Provide APIs allowing the embedding Provide APIs allowing the embedding of data mining functionality into of data mining functionality into applicationsapplications

Page 9: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

What Yukon OffersWhat Yukon Offers

Complete set Complete set of toolsof tools

Integrated Integrated solutionsolution

Embedded Embedded data miningdata mining

Partner AlliancesPartner Alliances

Extensive creation and Extensive creation and editing environment editing environment

Six most popular DM Six most popular DM algorithmsalgorithms

One unique algorithmOne unique algorithm

12 embeddable viewers12 embeddable viewers

Page 10: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

What Yukon OffersWhat Yukon Offers

Complete set Complete set of toolsof tools

Integrated Integrated solutionsolution

Embedded Embedded data miningdata mining

Partner AlliancesPartner Alliances

Tight integration with Tight integration with OLAP, Relational, DTS, OLAP, Relational, DTS, Reporting Reporting

Easy integration to Easy integration to Web/office applicationsWeb/office applications

Page 11: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

What Yukon OffersWhat Yukon Offers

Complete set Complete set of toolsof tools

Integrated Integrated solutionsolution

Embedded Embedded data miningdata mining

Partner AlliancesPartner Alliances

Embed DM to LOB Embed DM to LOB applicationsapplications

Complete SQL Complete SQL language-based APIlanguage-based API

Native XMLA supportNative XMLA support

Data Mining as a Data Mining as a Web serviceWeb service

Page 12: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

What Yukon OffersWhat Yukon Offers

Complete set Complete set of toolsof tools

Integrated Integrated solutionsolution

Embedded Embedded data miningdata mining

Partner AlliancesPartner Alliances

Partner program to bring in Partner program to bring in ISVs earlyISVs early

Complete Data Mining Complete Data Mining platformplatform

Focus on broadening the Focus on broadening the marketmarket

DMX to be industry standard DMX to be industry standard in XMLAin XMLA

Page 13: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Yukon AlgorithmsYukon Algorithms

Decision TreesDecision Trees ClusteringClustering Time SeriesTime Series

SequenceSequenceClusteringClustering

AssociationAssociation Naïve BayesNaïve Bayes

Neural NetNeural Net

Page 14: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Case StudyCase StudyData Mining in Market ResearchData Mining in Market Research

Page 15: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Market ResearchSurvey AnalysisMarket ResearchSurvey Analysis

Financial Security Compliance SurveyFinancial Security Compliance Survey

Identify Respondent-Level TrendsIdentify Respondent-Level TrendsPerform Segment AnalysisPerform Segment Analysis

Identify Key DriversIdentify Key Drivers

Profile Respondent Sub-PopulationsProfile Respondent Sub-Populations

SupportSupportMarketing Program RecommendationsMarketing Program Recommendations

Upper Management ScorecardsUpper Management Scorecards

Page 16: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Market ResearchSecurity Compliance SurveyMarket ResearchSecurity Compliance Survey

Survey Sponsor: National Financial Survey Sponsor: National Financial Security Compliance AgencySecurity Compliance Agency

37 Questions37 QuestionsSystem/Network Security ComplianceSystem/Network Security Compliance

Drill-down QuestionsDrill-down Questions

1192 Respondents1192 Respondents

Page 17: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Market ResearchYukon Data MiningYukon Data MiningMarket ResearchYukon Data MiningYukon Data Mining

Utilize the following Yukon Analysis Utilize the following Yukon Analysis Services AlgorithmsServices Algorithms

Microsoft Decision Trees Microsoft Decision Trees (Key Driver Analysis)(Key Driver Analysis)

Microsoft Clustering (Segment Analysis)Microsoft Clustering (Segment Analysis)

Microsoft Naïve Bayes Microsoft Naïve Bayes (Sub-Population Profiles)(Sub-Population Profiles)

Page 18: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Case StudyCase StudyPortfolio PredictionPortfolio Prediction

Page 19: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Portfolio PredictionPortfolio Prediction

Identify Correlations and Trends in Identify Correlations and Trends in Historic Stock Market and Historic Stock Market and Financial DataFinancial Data

SeasonalitySeasonality

Adapt to Disruptive ChangeAdapt to Disruptive Change

Utilize Correlations and Trends to Utilize Correlations and Trends to Estimate Future Movement Estimate Future Movement

Page 20: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Portfolio PredictionYukon Data MiningPortfolio PredictionYukon Data Mining

Monthly Stock Market Data for 21 Monthly Stock Market Data for 21 StocksStocks

Data Collected Over 10 YearsData Collected Over 10 Years

Monthly High ValueMonthly High Value

Utilize Microsoft Time Series to Model Utilize Microsoft Time Series to Model Temporal TrendsTemporal Trends

Predict 6 Months into the “Future”Predict 6 Months into the “Future”

Page 21: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

ConclusionConclusion

Data Mining is Making Significant Data Mining is Making Significant BI ImpactBI Impact

Yukon Provides Powerful Data Mining Yukon Provides Powerful Data Mining PlatformPlatform

Embedding Data Mining in BI ApplicationsEmbedding Data Mining in BI Applications

Data Mining Model Management and Data Mining Model Management and SecuritySecurity

Capitalize Your Data Assets for Capitalize Your Data Assets for Strategic Business Decision-MakingStrategic Business Decision-Making

Page 22: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Visit the SQL Server 2005 Web site Visit the SQL Server 2005 Web site www.microsoft.com/sql/2005www.microsoft.com/sql/2005

Learn more about SQL Server 2005 at TechLearn more about SQL Server 2005 at TechEdEd Hands On Labs Hands On Labs

Rooms 6E and 6FRooms 6E and 6F 13 Hands On Labs13 Hands On Labs

Ask the Experts Ask the Experts Track Cabanas located around CommNetTrack Cabanas located around CommNet Experts Available All WeekExperts Available All Week

Next Steps: SQL Server 2005Next Steps: SQL Server 2005

Exclusive TechExclusive TechEd Offer!Ed Offer!Receive Receive Beta 2Beta 2 of of SQL Server 2005SQL Server 2005

Register for SQL Server 2005 Beta 2 at: Register for SQL Server 2005 Beta 2 at: http://www.msteched.com/SqlBetaBits.aspx

Page 23: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

SQL Server 2005: SQL Server 2005: More SessionsMore Sessions

DAT330DAT330 Tue 3.30 – 4.45Tue 3.30 – 4.45 SQL Server 2005 (code named "Yukon"): Security EnhancementsSQL Server 2005 (code named "Yukon"): Security Enhancements

DAT329DAT329 Tue 5.00 – 6.15Tue 5.00 – 6.15 SQL Server 2005 (code named "Yukon"): A Platform for Web ServicesSQL Server 2005 (code named "Yukon"): A Platform for Web Services

DAT313DAT313 Wed 8.30 – 9.45Wed 8.30 – 9.45 Introducing SQL Server 2005 (code named "Yukon") Data Transformation ServicesIntroducing SQL Server 2005 (code named "Yukon") Data Transformation Services

DAT377DAT377 Wed 10.15 – 11.45Wed 10.15 – 11.45 Data mining in SQL Server 2000 and SQL Server 2005 (code named "Yukon")Data mining in SQL Server 2000 and SQL Server 2005 (code named "Yukon")

DAT317DAT317 Wed 2.00 – 3.15Wed 2.00 – 3.15 SQL Server 2005 (code named "Yukon"): Setup and DeploymentSQL Server 2005 (code named "Yukon"): Setup and Deployment

DAT318DAT318 Wed 3.45 – 5.00Wed 3.45 – 5.00 SQL Server 2005 (code named "Yukon"): .NET Framework-Based Programming in SQL Server 2005 (code named "Yukon"): .NET Framework-Based Programming in the Databasethe Database

DAT323DAT323 Wed 5.30 – 6.45Wed 5.30 – 6.45 SQL Server 2005 (code named "Yukon"): What's New in ReplicationSQL Server 2005 (code named "Yukon"): What's New in Replication

DAT328DAT328 Thu 8.30 – 9.45Thu 8.30 – 9.45 SQL Server 2005 (code named "Yukon"): Introduction to the Unified Dimensional SQL Server 2005 (code named "Yukon"): Introduction to the Unified Dimensional Model in Analysis ServicesModel in Analysis Services

DATC15DATC15 Thu 10.15 – 11.30Thu 10.15 – 11.30 Real Time Analytics: Bringing It All Together Using Analysis ServicesReal Time Analytics: Bringing It All Together Using Analysis Services

DAT321DAT321 Thu 10.15 – 11.30Thu 10.15 – 11.30 SQL Server 2005 (code named "Yukon"): Management ToolsSQL Server 2005 (code named "Yukon"): Management Tools

DAT319DAT319 Thu 1.30 – 2.45Thu 1.30 – 2.45 XML in the Database - the XML Data Type in SQL Server 2005 (code named "Yukon")XML in the Database - the XML Data Type in SQL Server 2005 (code named "Yukon")

DAT340DAT340 Thu 3.15 – 4.30Thu 3.15 – 4.30 Applying and Targeting DTS in SQL Server 2005 (Code Named "Yukon")Applying and Targeting DTS in SQL Server 2005 (Code Named "Yukon")

DAT324DAT324 Thu 5.00 – 6.15Thu 5.00 – 6.15 SQL Server 2005 (code named "Yukon"): Backup and Restore EngineSQL Server 2005 (code named "Yukon"): Backup and Restore Engine

DAT322DAT322 Fri 9.00 – 10.15Fri 9.00 – 10.15 SQL Server 2005 (code named "Yukon"): SQL Server Management Object (SMO), SQL Server 2005 (code named "Yukon"): SQL Server Management Object (SMO), Next Generation SQL-DMONext Generation SQL-DMO

DAT431DAT431 Fri 10.45 – 12.00Fri 10.45 – 12.00 High Availability Technologies in SQL Server 2000 and SQL Server 2005 (code High Availability Technologies in SQL Server 2000 and SQL Server 2005 (code named "Yukon"): A Comparative Studynamed "Yukon"): A Comparative Study

DAT326DAT326 Fri 10.45 – 12.00Fri 10.45 – 12.00 SQL Server 2005 (code named "Yukon"): Be More Efficient with T-SQLSQL Server 2005 (code named "Yukon"): Be More Efficient with T-SQL

DAT325DAT325 Fri 1.00 – 2.15Fri 1.00 – 2.15 SQL Server 2005 (code named "Yukon"): Using the Service Broker to Build SQL Server 2005 (code named "Yukon"): Using the Service Broker to Build Asynchronous, Queued Database ApplicationsAsynchronous, Queued Database Applications

DAT327DAT327 Fri 2.45 – 4.00Fri 2.45 – 4.00 SQL Server 2005 (code named "Yukon"): Inside XQuerySQL Server 2005 (code named "Yukon"): Inside XQuery

Page 24: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

SQL Server Community sitesSQL Server Community siteshttp://www.microsoft.com/http://www.microsoft.com/sql/community/default.mspxsql/community/default.mspx

List of newsgroupsList of newsgroupshttp://www.microsoft.com/sql/community/newsgroups/default.mspxhttp://www.microsoft.com/sql/community/newsgroups/default.mspx

Locate Local User GroupsLocate Local User Groupshttphttp://www.microsoft.com/communities/://www.microsoft.com/communities/usergroups/default.mspxusergroups/default.mspx

Attend a free chat or Web castAttend a free chat or Web casthttp://www.microsoft.com/communities/chats/default.mspxhttp://www.microsoft.com/communities/chats/default.mspx http://www.microsoft.com/usa/webcasts/default.asphttp://www.microsoft.com/usa/webcasts/default.asp

Page 25: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

Q1:Q1: Overall satisfaction with the sessionOverall satisfaction with the session

Q2:Q2: Usefulness of the informationUsefulness of the information

Q3:Q3: Presenter’s knowledge of the subjectPresenter’s knowledge of the subject

Q4:Q4: Presenter’s presentation skillsPresenter’s presentation skills

Q5:Q5: Effectiveness of the presentationEffectiveness of the presentation

Please fill out a session evaluation on CommNetPlease fill out a session evaluation on CommNet

Page 26: DAT377 Data Mining In SQL Server 2000 And SQL Server 2005 (Code Named “Yukon”) Paul Bradley Principal, Data Mining Technology Apollo Data Technologies.

© 2004 Microsoft Corporation. All rights reserved.This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.


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