SQL Server 2008 for Business Intelligence UTS Short Course

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

Specializes in

C# and .NET (Java not anymore)

Testing Automated tests

Agile, Scrum Certified Scrum Trainer

Technology aficionado • Silverlight

• ASP.NET

• Windows Forms

Peter Gfader

Course Timetable & Materials

http://www.ssw.com.au/ssw/Events/2010UTSSQL/

Resources

http://sharepoint.ssw.com.au/Training/UTSSQL/

Course Website

Course Overview

Session Date Time Topic

1 Tuesday

14-09-2010 18:00 - 21:00 SSIS and Creating a Data Warehouse

2 Tuesday

21-09-2010

18:00 -

21:00 OLAP – Creating Cubes and Cube Issues

3 Tuesday

28-09-2010 18:00 - 21:00 Reporting Services

4 Tuesday

05-10-2010 18:00 - 21:00 Alternative Cube Browsers

5 Tuesday

12-10-2010 18:00 - 21:00 Data Mining

Business Intelligence

Data Warehouse

Measure (Facts)

Dimension

ETL

SSIS

Last week

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?

Homework

Cubes

1. What is a Cube?

2. Steps in Creating a Cube

3. Demo: Creating a Cube

4. Cube Issues

5. Hands on Lab

Session 2: Tonight’s Agenda

Cubes

Data structure for fast analysis of data

Precalculated

On top of a data warehouse

Manipulating and analysing data

from multiple perspectives

Cube

Performance

Relational databases not suited for instantaneous analysis

Cube precalculates (aggregates) data

Why a cube?

Cube Concept

Product

Geog

Time Q1 Q2 Q3 Q4

Clothing

Electronics

Groceries

Garden

Automotive

North

South

East

West

Edges are Dimensions

West

East

South

North

North

Q4

Groceries

„Import“ cube example

Sum over Packages

Max over Last

Aggregate measures over time dimension

Attribute hierarchy

Aggregate measures by multi dimensions

Packages Last

All

Sources Eastern

Hemisphere

Western

Hemisph.

All

Sources Eastern

Hemisph.

Western

Hemisph.

All

Time 25110 6547 18563 Dec-29-99 Dec-22-99 Dec-29-99

1st

half 11173 2977 8196 Jun-28-99 Jun-20-99 Jun-28-99

1st

quarter 5108 1452 3656 Mar-30-99 Mar-19-99 Mar-30-99

2nd

quarter 6065 1525 4540 Jun-28-99 Jun-20-99 Jun-28-99

.

.

.

.

Performance

Relational databases not suited for instantaneous analysis

Cube precalculates (aggregates) data

KPI and trending

Why a cube?

A cube is an

“aggregation of measures

against dimensions”

Adventure Works example

What is a Cube - Example

What is a Cube - Example

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

What is a Cube in SQL 2005/2008

1. Define Data Source

2. Create Data Source View

3. Define Dimensions

4. Define Measures (Facts)

5. Process the Cube

Steps in Creating a Cube

Data Source - Database

Data Source - Impersonation (Authentication)

Data Source View – Data Source

Data Source View – Connect Tables (Name

Matching)

Data Source View – Select Tables and Views

Manually adjust relationships missed by the wizard

Data Source View

Build a Cube – Build Method

Build a Cube – Select a Data Source View

Build a Cube – Select Measures

Build a Cube – Select Dimension

Build a Cube - Select Time Periods

Build a Cube – Process Cube

Build a Cube – Process Cube

Review Auto Generated Cube

Check Hierarchies e.g. Product Category shows ID rather than

name

Build a Cube

Build a Cube – Fix Dimensions

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

Cube Issues

That's a Cube!

1. What is a Cube?

2. Steps in Creating a Cube

3. Demo: Creating a Cube

4. Cube Issues

5. Hands on Lab

Summary

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

Connectionstring

(local) vs localhost vs .

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/

Tips

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/

SSIS resources

Newsletter

http://www.sqlservercentral.com/

BIDS helper

http://www.codeplex.com/bidshelper

Resources

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 things…

PeterGfader@ssw.com.au

http://blog.gfader.com/

twitter.com/peitor

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