This is my presentation from 17th Polish SQL server User Group Meeting in Wroclaw. It\'s first part of Quadrology Bussiness Intelligence for ITPros Cycle.

1. Wprowadzenie do Microsoft
SQL Server Analysis Services
{get DATE – 25/02/2010}
{get PLACE – Wrocław, Altkom Akademia SA}
{get AUDIENCE – 17 Spotkanie PLSSUG Wrocław}

2. Tobiasz Janusz Koprowski
aka „Anorak”
PLSSUG Wrocław

3. {get BIO}
• związany z informatyką od połowy lat dziewięćdziesiątych
• kilkuletnie doświadczenie w informatyce bankowej [Zorba, AS/400, ICBS, BTeller] oraz Data Center
• zainteresowania i zakres projektów: MOSS, Disaster Recovery, High Availibility, wirtualizacja,
bezpieczeństwo fizycznym DC, procedury bezpieczeństwa, operacyjne
• konsultant i wdrożeniowiec przy projektach audytów licencyjnych, systemów bezpieczeństwa,
tworzenia ośrodków przetwarzania danych, wdrożeniach platformy SharePoint
• Microsoft Gold Partner Program Administrator
• uczestnik kilku programów Microsoft: Connect, Community Leadership Programm,
ITPro Momentum, VS2010 Terminology Community, System Center Inlfuencer
• lider wrocławskiej grupy PLSSUG
• prelegent na spotkaniach społeczności
• Członek GITCA Technical Support Team [APAC, EMEA, LATAM, NORAM]
• moderator i prelegent (od lutego) na portalu VirtualStudy.pl
• wyróżniony funkcją Eksperta na portalu WSS.pl
Posiadane certyfikaty:
Microsoft Certified Professional
Microsoft Certified System Administrator
MCST: Windows 2008 Server Application Configuring
MCST: Windows 2008 Server Infrastructure Configuring
MCST: Windows 2008 server Active directory Configuring
MCITP: Windows 2008 Server Administrator
Microsoft Licensing Specialist
Microsoft Lite Licensing Sales Specialist
Microsoft Small Business Specialist
Microsoft Office Sales Specialist 2003/2007

4. Wprowadzenie do
Microsoft SQL Server
Analysis Services

5. AGENDA
• Hamburgery i ciasteczka
• Co to jest SQL Server Analysis Services
• Rys historyczny SSAS
• Wspierane tryby przechowywania
• Wspierane tryby zarządzania
• Wspierane języki zapytań
• Obsługa przez PowerShell
• Najważniejsze pojecia w SSAS
• SQL Server Analysis Services
• Przydatne linki
5

6. The Microsoft End-to-End BI Offering
DELIVERY
SharePoint Server
Reports Excel
Dashboards Workbooks Analytic Scorecards Plans
Views
END USER TOOLS & PERFORMANCE MANAGEMENT APPS
Excel PerformancePoint Server
BI PLATFORM
SQL Server SQL Server
Reporting Services Analysis Services
SQL Server DBMS
SQL Server Integration Services
Oracle SAP Siebel

7. The Microsoft BI Platform SQL Server 2008
Integrate Store
Analyze Report

8. Co to jest SQL Server Analysis Services
• SQL Server Analysis Services jest częścią produktu o nazwie SQL
Server
• Przeznaczony jest dla wsparcia procesów Bussiness Intelligence oraz
Hurtowni Danych
• W codziennym użytkowaniu współdziała z SQL Server Integration
services oraz SQL Server Reporting Services
Usługi analityczne – OLAP – dla SQL Server 7-> wspierają architektury
MOLAP, ROLAP, HOLAP oraz OLEDB for OLAP a także API i MDX
Usługi analityczne – SSAS 2000 – dla SQL Server 2000 -> ewolucja,
wsparcie dla pierwszych modeli Data Mining, elastyczne tworzenie
wymiarów, wsparcie dla parent/child partitions, zmiennych oraz wirtualnych
wymiarów. Przebudowany silnik obliczeniowy, podniesione bezpieczeństwo i
możliwość komunikacji przez HTTP
Usługi analityczne – SSAS 2005 – dla SQL Server 2005 -> zupełnie nowa
generacja obsługi OLAP, Data Mining oraz kompatybilności wstecznej. Dobre
wsparcie dla OLEDB for OLAP oraz MDX, przy jednoczesnym stworzeniu
nowego modelu UDM – Unified Dimensional Model
8

9. Rys historyczny usług analitycznych w SQL
Microsoft Analysis Services Events
Date Event
Microsoft opens new team to build an OLAP product, codenamed Plato
1996-07-01
(permutation of letters from OLAP)
1996-07-15 Panorama Software delegation meets with Microsoft
1996-10-27 Microsoft announces acquisition of Panorama Software development team
1998-11 OLAP Services 7.0 (codename Sphinx) ships
2000-08 Analysis Services 2000 (codename Shiloh) ships
2001-11 XML for Analysis SDK 1.0 ships
2003-04 ADOMD.NET and XML for Analysis SDK 1.1 ship
2005-10-28 Analysis Services 2005 (codename Yukon) ships
2008-08-06 Analysis Services 2008 (codename Katmai) ships
9

10. Wspierane tryby przechowywania danych
Dane w hurtowniach danych zorganizowane sa w postaci wielowymiarowego
modelu danych. Model wielowymiarowy składa sie z:
− faktów – okreslajacych informacje, które sa poddawane analizie np. sprzeda produktu,
− wymiarów – charakteryzujacych miary w których podawane sa wyniki przetwarzania
danych np. Ilość sztuk produktu.
• Wymiary ustalaja kontekst analizy np. analiza sprzeday towarów w
poszczególnych miesiacach lub wg. lokalizacji,itp.
• Wymiar może być wielopoziomowy np. oddział, miasto, województwo.
Modele Przechowywania
• MOLAP (Multidimensional Online Analytical Processing) - implementacja w bazach
wielowymiarowych, dane przechowywane w wielowymiarowych tabelach (tzw. kostkach),.
• ROLAP (Relational Online Analytical Processing) – implementacja w bazach
relacyjnych, fakty i wymiary przechowywane sa w tabelach relacyjnych,.
• HOLAP (Hybrid Online Analytical Processing) – implementacja hybrydowa, dane
podstawowe przechowywane w tabelach relacyjnych, dane zaagregowane przechowywane
w kostkach.
10

11. Wspierane tryby programowania danych
Microsoft Analysis Services supports different sets of APIs and object models for
different operations and in different programming environments
Querying
• XML for Analysis - The lowest level API. It can be used from any platform and in
any language which support HTTP and XML
• OLE DB for OLAP - Extension of OLEDB. COM based and suitable for C/C++
programs on Windows platform.
• ADOMD - Extension of ADO. COM Automation based and suitable for VB
programs on Windows platform.
• ADOMD.NET - Extension of ADO.NET. .NET based and suitable for managed
code programs on CLR platforms.
Administration and Management
• DSO - For AS 2000. COM Automation based and suitable for VB programs on
Windows platform.
• AMO - For AS 2005. .NET based and suitable for managed code programs on
CLR platforms.
11

12. Wspierane języki zapytań dla danych
Microsoft Analysis Services supports the following query languages
Data Definition Language (DDL)
• DDL in Analysis Services is XML based and supports commands such as
<Create>, <Alter>, <Delete>, <Process> etc. For Data Mining models import and
export, it also supports PMML.
Data Manipulation Language (DML)
• MDX - for querying OLAP cubes
• SQL - small subset of SQL for querying OLAP cubes and dimensions as if they
were tables
• DMX - for querying Data Mining models
12

13. Obsługa przez PowerShell
• Instalowany domyślnie w SQL Server 2008
• Brak oficjalnego providera dla SSAS
• „Półoficjalny” provider powerSSAS – Darren Gosbell
http://www.codeplex.com/powerSSAS/
• Możliwość oprogramowania np. widoków DMV Analysis Services
• Gotowe cmdlety:
− clear-ASSession
− get-ASSession
− get-ASConnection
− send-XmlaDiscover
• Przykłady:
− PS > get-ASsession localhost
− PS > get-ASconnection localhost
13

14. Najważniejsze obiekty w SSAS
Źródła Danych | Data Sources
Widoki Źródeł Danych | Data Source Views
Miary | Measures
Grupy Miar | Measure Groups
Wymiary | Dimensions
Kostki | Cubes
14

15. The Microsoft BI Platform SQL Server 2008
Integrate Store
Analyze Report

16. Intelligent Data Platform
Unlock Your Deliver Relevant Drive Actionable
Data Information Insights
• Rich connectivity • Intuitive design • Personalized data
environment experience
• Robust data
integration • Scale for thousands • Predictive analysis
of users
• Enterprise-class • Embedded insights
manageability • Wide-spread delivery
through Office

17. Analysis Challenges
How Do You Deal With:
Data stored in The cost of developing The costs of
multiple data sources analytical solutions learning new tools
Build fast but Deploy for today’s Inflexible
problem but scale ‘Real-Time’ data
build to last access architecture
over time
Multiple Users, Diverse analytical Inconsistent data
Multiple Tools needs

18. Analysis Services 2008
Design Scalable Solutions
Productivity enhancing designers
Scalable Infrastructure
Superior Performance
Extend Beyond OLAP
Unified meta data model
Central KPI manageability
Predictive Analysis
Deliver Pervasive Insight
Optimized Office interoperability
Rich partner extensibility
Open, embeddable architecture

19. New with Microsoft SQL Server 2008
Analysis Services
Innovative Cube Designer
Best Practice Design Alerts
Enhanced Dimension Design
Enhanced Aggregation Design
New Subspace Computations
MOLAP Enabled Write-Back
Enhanced Back-Up Scalability
Scalable Shared Databases
Dynamic Management Views
Execution Plan

20. Design Scalable Solutions
Productivity Enhancing Designers
Optimized design experience
Best Practice Design Alerts
Project Lifecycle support
Scalable Infrastructure
Heterogeneous data Integration
Robust Scale-Out Configuration
Advanced Resource Monitoring
User-differentiated perspectives
Superior Performance
Market leading MOLAP Engine
Near real-time data access
Subspace computation optimization
MOLAP enabled write-back

21. Extend Beyond OLAP
Unified Metadata Model
One consolidated business view
Integrated relational & OLAP analysis
Business information modeling
Time- and financial intelligence
Central KPI Manageability
Server based KPI framework
Centrally managed repository
Pervasive end-user accessibility
Predictive Analytics
Complete data mining framework
Embeddable viewers
Predictive capabilities available to
everyone through Microsoft Office

22. Predictive Analysis
Bring Data Mining to the masses through Microsoft Office
Enable easy to use predictive
analysis
At every desktop
For every information worker
Through three powerful add-
ins to Microsoft Office
Predictive capabilities readily
available for business users in
Excel
Data mining client for building data
mining models in Excel
Data mining templates for project
visualization in Visio
“What Microsoft has done is to make data mining available on the
desktop to everyone” (David Norris, Associate Analyst, Bloor Research).

23. Deliver Pervasive Insight
Optimized Office Interoperability
Analysis for everyone in Excel 2007
Team Collaboration through SharePoint
Corporate performance management
through PerformancePoint Server 2007
Rich Partner Ecosystem Extensibility
Vertically specialized solutions
Packaged applications
API support from all major BI vendors
Open, embeddable architecture
Open API’s and XML/A based protocols
Native web service functionality
Close loop analysis

24. Office 2007 Integration
Excel 2007
Great cross product investments optimizing
Excel 2007 as analytical client for Analysis
Services
Enhancements around local cubes
Significant performance and functionality
investments
Data Mining Add-Ins for predictive analysis
Performance Server 2007
Great cross product investments optimizing
PerformancePoint Server as thin analytic
client for Analysis Services
Rich web capabilities for data exploration.
Guided and contextual analysis through
integrated dashboards
Predictive analytics by integrating with SQL
Server 2005 Data Mining

25. SSAS Data Mining Programmability Overview
C++ App VB App .NET App Any App
Any Platform, Any
OLE DB ADO ADOMD.NET AMO
Device
XMLA WAN
Over TCP/IP
XMLA
Over HTTP
Analysis Server
OLAP Data Mining
Server ADOMD.NET Data Mining Interfaces
.NET Stored Microsoft Third-Party
Procedures Algorithms Algorithms
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26. Przydatne linki
Top 10 Web Resources to Learn SQL Server Analysis Services (SSAS):
Jessica Moss
• SQL Server Analysis Services Tutorial
http://technet.microsoft.com/en-us/library/ms170208.aspx
• Microsoft OLAP and Microsoft Analysis Services
http://www.mosha.com/msolap/
• Chris Webb’s BI Blog
http://cwebbbi.spaces.live.com/
• Microsoft Analysis Services Community Site
http://msdn.microsoft.com/en-ca/sqlserver/cc511475.aspx
• Richard Tkachuk's Analysis Services Page
http://www.sqlserveranalysisservices.com/default.htm
• Analysis Services Resource Hub
http://www.ssas-info.com/
• MDX at First Glance
http://www.databasejournal.com/features/mssql/article.php/1495511/MDX-at-First-Glance-Introduction-to-SQL-Server-MDX-
Essentials.htm
• Jesse Orosz: SQL Server Analysis Services Blog
http://jesseorosz.spaces.live.com/
• Darren Gosbell [MVP] – Random Procrastination
http://geekswithblogs.net/darrengosbell/Default.aspx
• Getting Started with SQL Server Analysis Services
http://www.mssqltips.com/tip.asp?tip=1167
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27. Przydatne linki
Microsoft SQL Server 2008 Data Mining Add-ins for Microsoft Office 2007
http://www.microsoft.com/downloads/details.aspx?familyid=896A493A-2502-4795-94AE-E00632BA6DE7&displaylang=en
Microsoft SQL Server 2005 Data Mining Add-ins for Microsoft Office 2007
http://www.microsoft.com/downloads/details.aspx?FamilyId=7c76e8df-8674-4c3b-a99b-55b17f3c4c51&displaylang=en
System Requirements
• Supported Operating Systems: Windows Server 2003 Service Pack 2; Windows Server 2008;
Windows Vista Service Pack 1; Windows XP Service Pack 3 (Windows 7...)
• Microsoft .NET Framework 2.0.
• If installing the Table Analysis Tools or Data Mining Client for Excel, Microsoft Office 2007 with
.NET Programmability Support. Supported editions of Office 2007 include:
− Professional | Professional Plus | Ultimate | Enterprise
• If installing the Data Mining Templates for Visio, Microsoft Viso Professional 2007 with .NET
Programmability Support.
• 40 MB of available hard disk space.
• Note: The Data Mining Add-ins require a connection to one of the following versions of SQL Server
2008 Analysis Services:
− Enterprise | Standard
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28. Przydatne linki
SQL Server 2008 White Paper: Analysis Services Performance Guide
http://www.microsoft.com/downloads/details.aspx?FamilyID=3be0488d-e7aa-4078-a050-ae39912d2e43&DisplayLang=en
Microsoft Announces Acquisition Of Panorama Online Analytical
Processing (OLAP) Technology
http://www.microsoft.com/presspass/press/1996/oct96/pan2pr.mspx
Analysis Services Resource Hub
http://www.ssas-info.com/
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provide free videos and forums about the Microsoft BI stack. This includes
SQL Server Integration Services, SQL Server Analysis Services, SQL Server
Reporting Services, PerformancePoint Server, ProClarity, SharePoint, and
Excel.
http://www.learnmicrosoftbi.com/
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30. © 2008 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.