Data Mining mit SQL Server 2008 und Excel 2007

Präsentation zum Thema: "Data Mining mit SQL Server 2008 und Excel 2007"—  Präsentation transkript:

1 Data Mining mit SQL Server 2008 und Excel 2007
3/28/2017 6:26 PM Data Mining mit SQL Server 2008 und Excel 2007 Steffen Krause Technical Evangelist Microsoft © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2 Agenda Was ist Data Mining und wie können Sie es nutzen?
Data Mining Prozess SQL Server Data Mining Data Mining Integration Data Mining Programmierbarkeit Excel Addins

3 Analyse-Typen Abfrage/Reporting/Analyse Data Mining
“Was ist passiert?” Einfache Reports Key Performance Indikatoren OLAP-Würfel – Slice & Dice Echtzeit - “Was passiert derzeit?” Ereignisse/Trigger Data Mining “Was wird passieren?” “Wie/warum ist das passiert?”

4 Was ist Data Mining? “Data Mining ist die halbautomatische Extraktion von Mustern, Änderungen, Assoziationen, Anomalien und anderen statistisch signifikanten Strukturen aus großen Datenmengen.” Robert Grossman “Die nichttriviale Extraktion von impliziten, vorher unbekannten und potentiell nützlichen Informationen aus Daten" W. Frawley,et al 1992 “Die Wissenschaft vom Herausziehen nützlicher Information aus großen Datenmengen oder Datenbanken” D. Hand, et al 2001 Auch bekannt als Machine Learning Predictive Analytics

5 Was tut Data Mining? Untersucht Ihre Daten Findet Muster
Erstellt Voraussagen

6 Data Mining Aufgaben Klassifikation Schätzung Segmentierung
Assoziation Voraussage Text-Analyse Fortgeschrittene Daten-Erforschung

7 Agenda Was ist Data Mining und wie können Sie es nutzen?
Data Mining Prozess SQL Server Data Mining Data Mining Integration Excel Addins

8 Mining-Prozess Vorherzusagende Daten Trainingsdaten Mining-Modell
DM Engine DM Engine Mining-Modell Mining-Modell Mit Vorhersagen

9 Data Mining Prozess CRISP-DM
“Doing Data Mining” Business Understanding Data Understanding Data Preparation Data “Putting Data Mining to Work” Deployment Modeling Evaluation

10 Data Mining Process in SQL CRISP-DM
SSAS (OLAP) DSV Business Understanding Data Understanding SSIS SSAS (OLAP) Data Data Preparation SSIS SSAS(OLAP) SSRS Flexible APIs Deployment SSAS (Data Mining) Modeling Evaluation

11 Data Mining in SQL Server
3/28/2017 6:26 PM Data Mining in SQL Server demo © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

12 Demo-Zusammenfassung
Datenvorbereitung mit Sampling-Transformationen in Integration Services Analysis Services Project in Visual Studio® erstellen Modelle erstellen und auf den Server deployen Modelle mit Lift Chart evaluieren Modell mit Reporting Services in Produktion nehmen

13 Agenda Was ist Data Mining und wie können Sie es nutzen?
Data Mining Prozess SQL Server Data Mining Data Mining Integration Excel Addins

14 Angebot in SQL Server Neun (7-10) Algorithmen, gemeinsam mit MS Research entwickelt Data Mining wird zugänglich und einfach benutzbar durch ein integriertes Benutzerinterface, Unterstützung über Produktgrenzen hinaus und ein vertrautes Standard-API. Komplettes Framework für Erstellung und Deployment von intelligenten Anwendungen

15 <Vortragstitel>
Wert von Data Mining Business Knowledge Einfach Kompliziert Usability Relativer Geschäfts-Wert SQL Server Data Mining OLAP Reports (Adhoc) Reports (Statisch) TechNet Roadshow zum Windows Server System: Migration, Deployment und Sicherheit

16 Vollständiger Satz von Algorithmen
<Vortragstitel> Vollständiger Satz von Algorithmen Clustering Zeitreihen (2 Algorithmen) Entscheidungsbäume Eingeführt mit SQL Server 2000 Sequence Clustering Assoziation Naïve Bayes Neuronale Netzwerke + Lineare Regression Logistische Regression TechNet Roadshow zum Windows Server System: Migration, Deployment und Sicherheit

17 Agenda Was ist Data Mining und wie können Sie es nutzen?
Data Mining Prozess SQL Server Data Mining Data Mining Integration Excel Addins

18 Data Mining User Interface
SQL Server BI Development Studio Umgebung für Erstellung und Daten-Erforschung Data Mining-Projekte in Visual Studio Solutions mit zusammenhängenden Projekten Source Control Integration SQL Server Management Studio Eine Anwendung für alle Verwaltungsaufgaben Management, Ansicht und Abfrage von Mining Modellen

19 BI Integration Integration Services OLAP Reporting Services
Data Mining Processing und Ergebnisse integrieren sich direkt in die Pipeline OLAP Processing von Mining-Modellen direkt aus Cubes Verwendung von Mining-Ergebnissen als Dimensionen Reporting Services Einbetten von Data Mining Ergebnissen direkt in Reporting Services Reports

20 Eingebettetes Data Mining
Entscheidungen ohne Programmierung Geschäftsregeln aus Daten lernen Kundenanpassung Logik automatisch an den Kunden angepaßt Automatisches Update Logik durch Re-Processing mit aktuellen Daten aktualisiert

21 Agenda Was ist Data Mining und wie können Sie es nutzen?
Data Mining Prozess SQL Server Data Mining Data Mining Integration Excel Addins

22 “Data Mining ist schwer”
3/28/2017 6:26 PM “Data Mining ist schwer” Anwender wollen nur anwenden Wie können Sie: Das Problem definieren? Daten auswählen? Eingaben selektieren? Ausgaben definieren? Ergebnisse interpretieren? Ergebnisse überprüfen? © 2006 Microsoft Corporation. All rights reserved. This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.

23 Mission Impossible “Data Mining für die Massen”
3/28/2017 6:26 PM Mission Impossible “Data Mining für die Massen” Data Mining Angebote für alle Benutzer © 2006 Microsoft Corporation. All rights reserved. This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.

24 Table Analysis Tools for Office Excel 2007
3/28/2017 6:26 PM Table Analysis Tools for Office Excel 2007 Ausreisser hervorheben Kategorien finden Einflussfaktor-Analyse Vorhersage Was wäre wenn Zielsuche Fill from example Warenkorbanalyse © 2006 Microsoft Corporation. All rights reserved. This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.

25 Data Mining Client für Office Excel 2007
3/28/2017 6:26 PM Data Mining Client für Office Excel 2007 Datenvorbereitung Modell-Erstellung aus Excel Daten Modell-Test Modell-Ansicht Modell-Verwaltung Vorhersage aus Excel Daten Import von Vorhersagedaten nach Excel © 2006 Microsoft Corporation. All rights reserved. This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.

26 Data Mining Templates for Office Visio 2007
3/28/2017 6:26 PM Data Mining Templates for Office Visio 2007 Grafische Data Mining Sichten als Visio-Diagramme Interaktion Annotation Publikation © 2006 Microsoft Corporation. All rights reserved. This presentation is for informational purposes only. Microsoft makes no warranties, express or implied, in this summary.

27 demo Excel Addins 3/28/2017 6:26 PM
© 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

28 Zusammenfassung Neun Algorithmen + Viewer
BI Dev Studio für Entwickler und Analysten Excel 2007 für Analysten und Jedermann Integration mit SSIS, SSAS und SSRS Neue Welt der “Intelligenten Anwendungen” Vollständige Plattform für alle Ebenen der DM-Nutzung

29 Ressourcen http://www.sqlserverdatamining.com http://www.sqlis.com/
Blogs Webcasts

30 Your MSDN resources check out these websites, blogs & more!
3/28/2017 6:26 PM Your MSDN resources check out these websites, blogs & more! Presentations TechDays: MSDN Events: MSDN Webcasts: MSDN Events MSDN Events: Save the date: Tech•Ed 2009 Europe, 9-13 November 2009, Berlin MSDN Flash (our by weekly newsletter) Subscribe: MSDN Team Blog RSS: Developer User Groups & Communities Mobile Devices: Microsoft Solutions User Group Switzerland: .NET Managed User Group of Switzerland: FoxPro User Group Switzerland: © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

31 Your TechNet resources check out these websites, blogs & more!
3/28/2017 6:26 PM Your TechNet resources check out these websites, blogs & more! Presentations TechDays: TechNet Events TechNet Events: Save the date: Tech•Ed 2009 Europe, 9-13 November 2009, Berlin TechNet Flash (our by weekly newsletter) Subscribe: Schweizer IT Professional und TechNet Blog RSS: IT Professional User Groups & Communities SwissITPro User Group: NT Anwendergruppe Schweiz: PASS (Professional Association for SQL Server): © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

32 Save the date for tech·days next year!
3/28/2017 6:26 PM Save the date for tech·days next year! 7. – 8. April 2010 Congress Center Basel © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

33 Premium Sponsoring Partners
3/28/2017 6:26 PM Premium Sponsoring Partners Classic Sponsoring Partners Media Partner © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

34 3/28/2017 6:26 PM © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.