1.
SQL Server 2008 for Business Intelligence
UTS Short Course

2.
 Step to the next level!
 From Microsoft and the founders of Scrum (Ken Schwaber)
 Innovative
 For developers
 Learn
 Modern engineering practices
 Visual Studio 2010 and Team Foundation Server
 Scrum framework
 Assessments and certifications are available
 Find a local class
http://go.microsoft.com/fwlink/?LinkId=187778

3.
Peter Gfader
 Specializes in
 C# and .NET
(Java not anymore)
 Testing
Automated tests
 Agile, Scrum
Certified Scrum Trainer
 Technology aficionado
• Silverlight
• ASP.NET
• Windows Forms

4.
Course Website
 Course Timetable & Materials
 http://www.ssw.com.au/ssw/Events/2010UTSSQL/
 Resources
 http://sharepoint.ssw.com.au/Training/UTSSQL/

5.
Course Overview
Session Date Time Topic
Tuesday
1 18:00 - 21:00 SSIS and Creating a Data Warehouse
14-09-2010
Tuesday 18:00 -
2 OLAP – Creating Cubes and Cube Issues
21-09-2010 21:00
Tuesday
3 18:00 - 21:00 Reporting Services
28-09-2010
Tuesday
4 18:00 - 21:00 Alternative Cube Browsers
05-10-2010
Tuesday
5 18:00 - 21:00 Data Mining
12-10-2010

6.
Last week
 Business Intelligence
 Data Warehouse
 Measure (Facts)
 Dimension
 ETL
 SSIS

7.
Homework
 What is a "TYPE"?
 Why?
 DWCreateScript.sql:
What does the stored procedure "procDimDateInsert" do?
 What is the difference
 TRUNCATE
 DELETE FROM?
 SSIS: What for is the Sequence Container?

8.
Cubes

9.
Session 2: Tonight’s Agenda
1. What is a Cube?
2. Steps in Creating a Cube
3. Demo: Creating a Cube
4. Cube Issues
5. Hands on Lab

10.
Cubes

11.
Cube
 Data structure for fast analysis of data
 Precalculated
 On top of a data warehouse
 Manipulating and analysing data
 from multiple perspectives

12.
Why a cube?
 Performance
 Relational databases not suited for instantaneous analysis
 Cube precalculates (aggregates) data

13.
Cube Concept
Groceries
Electronics
Product Clothing
North
South
Garden
East
Automotive West Geog
Q1 Q2 Q3 Q4
Time

14.
Edges are Dimensions
North
South
East
West

15.
Groceries
North
Q4

16.
„Import“ cube example
 Sum over Packages
 Max over Last

17.
 Aggregate measures over time dimension
 Attribute hierarchy

18.
 Aggregate measures by multi dimensions
Packages Last
All Eastern Western All Eastern Western
Sources Hemisphere Hemisph. Sources Hemisph. Hemisph.
All
25110 6547 18563 Dec-29-99 Dec-22-99 Dec-29-99
Time
1st
11173 2977 8196 Jun-28-99 Jun-20-99 Jun-28-99
half
1st
5108 1452 3656 Mar-30-99 Mar-19-99 Mar-30-99
quarter
2nd
6065 1525 4540 Jun-28-99 Jun-20-99 Jun-28-99
quarter
.
.
.
.

19.
Why a cube?
 Performance
 Relational databases not suited for instantaneous analysis
 Cube precalculates (aggregates) data
 KPI and trending

20.
Adventure Works example
 A cube is an
 “aggregation of measures
against dimensions”

21.
What is a Cube - Example

22.
What is a Cube - Example

23.
What is a Cube in SQL 2005/2008
1. Data Source
 Where the data comes from
• Adventure works connection string
2. Data Source View
 The tables and how they link together
• Orders, Details, Products and relationships
• Name matching to detect relationships
3. Dimensions
 How we break up the aggregate data
• Products, Time
4. Measures (Facts)
 The aggregate data
• Line Total, Quantity

24.
Steps in Creating a Cube
1. Define Data Source
2. Create Data Source View
3. Define Dimensions
4. Define Measures (Facts)
5. Process the Cube

25.
Data Source - Database

26.
Data Source - Impersonation (Authentication)

27.
Data Source View – Data Source

28.
Data Source View – Connect Tables (Name
Matching)

29.
Data Source View – Select Tables and Views

30.
Data Source View
 Manually adjust relationships missed by the wizard

31.
Build a Cube – Build Method

32.
Build a Cube – Select a Data Source View

33.
Build a Cube – Select Measures

34.
Build a Cube – Select Dimension

35.
Build a Cube - Select Time Periods

36.
Build a Cube – Process Cube

37.
Build a Cube – Process Cube

38.
Build a Cube
 Review Auto Generated Cube
 Check Hierarchies e.g. Product Category shows ID rather than
name

39.
Build a Cube – Fix Dimensions

40.
Cube Issues
 Keeping things Related
 Dimensions should tie in to Fact tables
 Use Primary Keys
 Keeping things Relevant
 Multiple fact tables
 Even more dimensions
 Keeping things Fresh
 Needs to be processed
 Automated SSIS Packages
 Keeping Missing Data
 Fails to process when keys are missing
 Change missing keys to Unknown

41.
That's a Cube!

42.
Summary
1. What is a Cube?
2. Steps in Creating a Cube
3. Demo: Creating a Cube
4. Cube Issues
5. Hands on Lab

43.
Connectionstring
(local) vs localhost vs .
What is the difference between
• (local)
• localhost
• .
http://weblogs.asp.net/jgalloway/archive/2005/12/02/432062.aspx
 Shared memory comes always first on local machine
http://msdn.microsoft.com/en-us/library/ms187662.aspx

44.
Tips
http://channel9.msdn.com/tags/Data+Warehousing/
http://channel9.msdn.com/tags/Business+Intelligence/
http://blog.sqlauthority.com/2007/07/29/sql-server-data-
warehousing-interview-questions-and-answers-complete-list-
download/

45.
SSIS resources
 SSIS Junkie
http://sqlblog.com/blogs/jamie_thomson
 Microsoft SQL Server Integration Services ON-DEMAND
WEBCASTS
http://www.microsoft.com/events/series/bi.aspx?tab=webcasts
&id=42664
 Great blog about SSIS
http://www.sqlis.com/sqlis/

46.
Resources
 Newsletter
http://www.sqlservercentral.com/
 BIDS helper
http://www.codeplex.com/bidshelper

47.
 Step to the next level!
 From Microsoft and the founders of Scrum (Ken Schwaber)
 Innovative
 For developers
 Learn
 Modern engineering practices
 Visual Studio 2010 and Team Foundation Server
 Scrum framework
 Assessments and certifications are available
 Find a local class
http://go.microsoft.com/fwlink/?LinkId=187778

48.
3 things…
 PeterGfader@ssw.com.au
 http://blog.gfader.com/
 twitter.com/peitor

49.
Thank You!
Gateway Court Suite 10
81 - 91 Military Road
Neutral Bay, Sydney NSW 2089
AUSTRALIA
ABN: 21 069 371 900
Phone: + 61 2 9953 3000
Fax: + 61 2 9953 3105
info@ssw.com.au
www.ssw.com.au