Expert Cube Development with Microsoft SQL Server 2008

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Table of Contents Preface 1 Chapter 1: Designing the Data Warehouse for Analysis Services 7 The source database 7 The OLTP database 8 The data warehouse 9 The data mart 11 Data modeling for Analysis Services 11 Fact tables and dimension tables 12 Star schemas and snowflake schemas 13 Junk dimensions 16 Degenerate dimensions 17 Slowly Changing Dimensions 18 Bridge tables, or factless fact tables 20 Snapshot and transaction fact tables 22 Updating fact and dimension tables 23 Natural and surrogate keys 25 Unknown members, key errors, and NULLability 27 Physical database design for Analysis Services 28 Multiple data sources 28 Data types and Analysis Services 28 SQL queries generated during cube processing 29 Dimension processing 29 Dimensions with joined tables 30 Reference dimensions 30 Fact dimensions 31 Distinct count measures 31 Indexes in the data mart 31 Download at Boykma.Com
Table of Contents Usage of schemas 33 Naming conventions 33 Views versus the Data Source View 33 Summary 36 Chapter 2: Building Basic Dimensions and Cubes 37 Choosing an edition of Analysis Services 38 Setting up a new Analysis Services project 38 Creating data sources 40 Creating Data Source Views 42 Designing simple dimensions 44 Using the 'New Dimension' wizard 44 Using the Dimension Editor 48 Adding new attributes 48 Configuring a Time dimension 50 Creating user hierarchies 51 Configuring attribute relationships 52 Building a Simple Cube 55 Using the 'New Cube' wizard 56 Deployment 56 Processing 57 Summary 60 Chapter 3: Designing More Complex Dimensions 61 Grouping and Banding 61 Grouping 62 Banding 63 Slowly Changing Dimensions 65 Type I SCDs 65 Type II SCDs 67 Modeling attribute relationships on a Type II SCD 67 Handling member status 70 Type III SCDs 70 Junk dimensions 71 Ragged hierarchies 72 Parent/child hierarchies 72 Ragged hierarchies with HideMemberIf 75 Summary 77 Chapter 4: Measures and Measure Groups 79 Measures and aggregation 79 Useful properties of measures 80 Format String 80 Display folders 81 [ ii ] Download at Boykma.Com
Page 2 and 3: Expert Cube Development with Micros
Page 4 and 5: Authors Chris Webb Alberto Ferrari
Page 6 and 7: Alberto Ferrari (alberto.ferrari@sq
Page 10 and 11: [ iii ] Table of Contents Built-in
Page 12 and 13: [ v ] Table of Contents Designing f
Page 14 and 15: [ vii ] Table of Contents Analysis
Page 16 and 17: Preface Microsoft SQL Server Analys
Page 18 and 19: • Microsoft Windows Vista, Micros
Page 20 and 21: New terms and important words are s
Page 22 and 23: Designing the Data Warehouse for An
Page 24 and 25: • [ 9 ] Chapter 1 In our experien
Page 26 and 27: OLTP System(s) Data Warehouse [ 11
Page 28 and 29: [ 13 ] Chapter 1 Star schemas and s
Page 30 and 31: [ 15 ] Chapter 1 This is as a "snow
Page 32 and 33: We have two choices: • • [ 17 ]
Page 34 and 35: SCDs come in three flavors: • •
Page 36 and 37: All fact tables represent many-to-m
Page 38 and 39: [ 23 ] Chapter 1 A snapshot fact ta
Page 40 and 41: [ 25 ] Chapter 1 Data updates on di
Page 42 and 43: [ 27 ] Chapter 1 Therefore, the con
Page 44 and 45: This is the rule for relational tab
Page 46 and 47: [ 31 ] Chapter 1 We are not going t
Page 48 and 49: Usage of schemas The data warehouse
Page 50 and 51: • • • • • • Views are m
Page 52 and 53: Building Basic Dimensions and Cubes
Page 54 and 55: [ 39 ] Chapter 2 You'll only be abl
Page 56 and 57: [ 41 ] Chapter 2 You are then faced
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[ 43 ] Chapter 2 2. by matching col
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[ 45 ] Chapter 2 In keeping with ou
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[ 47 ] Chapter 2 Now that we are in
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• • • [ 49 ] Chapter 2 OrderB
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The benefits of doing this are: •
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[ 53 ] Chapter 2 You can see that,
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You can read a more detailed discus
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Warnings and Blue Squiggly Lines Ev
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[ 59 ] Chapter 2 Processing errors
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Designing More Complex Dimensions A
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[ 63 ] Chapter 3 Clearly, this isn'
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[ 65 ] Chapter 3 The advantage of t
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[ 67 ] Chapter 3 alters one of thes
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• [ 69 ] Chapter 3 Build the user
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Using folders Customer Current City
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[ 73 ] Chapter 3 Analysis Services
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Avoid using parent/child hierarchie
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[ 77 ] Chapter 3 Summary In this ch
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Measures and Measure Groups With ou
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• • [ 81 ] Chapter 4 Be careful
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[ 83 ] Chapter 4 Built-in measure a
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Semi-additive aggregation types The
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[ 87 ] Chapter 4 Note that the semi
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[ 89 ] Chapter 4 Most of this work
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[ 91 ] Chapter 4 From this, we can
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[ 93 ] Chapter 4 However, if you do
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[ 95 ] Chapter 4 In Analysis Servic
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[ 97 ] Chapter 4 Handling different
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[ 99 ] Chapter 4 In the previous sc
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[ 101 ] Chapter 4 Using linked dime
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which in certain client tools (Exce
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When the join is made between the a
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Adding Transactional Data such as I
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[ 109 ] Chapter 5 Drillthrough In c
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Drillthrough actions are used to br
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[ 113 ] Chapter 5 Drillthrough Colu
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Products All Adv DM 1 Product Lis
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[ 117 ] Chapter 5 maximum rows retu
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[ 119 ] Chapter 5 At this point, it
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It is possible to create two measur
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[ 123 ] Chapter 5 Analysis Services
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[ 125 ] Chapter 5 The Sales Order d
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[ 127 ] Chapter 5 Now we can proces
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[ 129 ] Chapter 5 Performance issue
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Adding Calculations to the Cube Thi
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[ 133 ] Chapter 6 Simple calculatio
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[ 135 ] Chapter 6 However, we stron
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[ 137 ] Chapter 6 Year-to-dates Yea
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The difference between the two rati
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We can easily check that the value
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[ 143 ] Chapter 6 Luckily, one simp
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This produces the following output:
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[ 147 ] Chapter 6 Moving averages M
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) 6, NULL, Avg ( LastPeriods (6,[D
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) MEMBER MEASURES.[Product Rank] AS
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[ 153 ] Chapter 6 In some circumsta
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[ 155 ] Chapter 6 We can see from t
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The result seems to be incorrect: C
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[ 159 ] Chapter 6 Next, we need to
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A more complete, worked example of
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[ 163 ] Chapter 6 Dynamic named set
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[ 165 ] Chapter 6 Summary In this c
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Adding Currency Conversion In this
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[ 169 ] Chapter 7 In both cases, th
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[ 171 ] Chapter 7 For example, end
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[ 173 ] Chapter 7 Many of the objec
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[ 175 ] Chapter 7 The list of measu
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[ 177 ] Chapter 7 In the next step,
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After having clicked Finish, we can
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[ 181 ] Chapter 7 want to delay dat
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[ 183 ] Chapter 7 Alternatively, it
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[ 185 ] Chapter 7 The data model th
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The data model that we'll use to de
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At the time of writing, on Service
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Query Performance Tuning One of the
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[ 193 ] Chapter 8 Remember that the
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[ 195 ] Chapter 8 Building partitio
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[ 197 ] Chapter 8 by our users' que
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[ 199 ] Chapter 8 The extra scans c
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[ 201 ] Chapter 8 You can only desi
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• • • [ 203 ] Chapter 8 None:
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[ 205 ] Chapter 8 The approach we s
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[ 207 ] Chapter 8 Once you've done
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• • Query Processing\Get Data F
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[ 211 ] Chapter 8 data is being req
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[ 213 ] Chapter 8 Unsurprisingly, i
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[ 215 ] Chapter 8 MDX calculation p
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[ 217 ] Chapter 8 Using named sets
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[ 219 ] Chapter 8 ( TopPercent ( {
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[ 221 ] Chapter 8 Tuning the implem
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Formula cache scopes There are thre
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[ 225 ] Chapter 8 CREATE CACHE stat
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Securing the Cube Security, for an
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[ 229 ] Chapter 9 If you are famili
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• • • • • • • [ 231 ]
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• • [ 233 ] Chapter 9 In BI Dev
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[ 235 ] Chapter 9 Let's look at an
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[Sales Territory].[Sales Territory
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[ 239 ] Chapter 9 First of all, not
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We now have the exact result we wan
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So, if we deny access to the Total
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[ 245 ] Chapter 9 In order to solve
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The relational data source, for the
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[ 249 ] Chapter 9 This expression f
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} [ 251 ] Chapter 9 MemberCollectio
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[ 253 ] Chapter 9 All we then need
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[ 255 ] Chapter 9 Now, here's the d
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[ 257 ] Chapter 9 Generate takes tw
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[ 259 ] Chapter 9 Dynamic cell secu
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[ 261 ] Chapter 9 One last problem
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[ 263 ] Chapter 9 Accessing a cube
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[ 265 ] Chapter 9 Dimension securit
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Productionization When the Analysis
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• [ 269 ] Chapter 10 The recommen
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• [ 271 ] Chapter 10 We may chang
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At this point the package looks lik
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UNION ALL SELECT * FROM CubeSales.S
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Analysis Services processing can be
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Type Description [ 279 ] Chapter 10
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Type Description [ 281 ] Chapter 10
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Processing an object will lead to t
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We can also set these properties fo
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• [ 287 ] Chapter 10 We can also
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[ 289 ] Chapter 10 Push-mode proces
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Copying databases between servers T
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Summary In this chapter we have dis
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Monitoring Cube Performance and Usa
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[ 297 ] Chapter 11 CPU Analysis Ser
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[ 299 ] Chapter 11 In order to unde
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Another reason for paging physical
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[ 303 ] Chapter 11 The Services tab
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[ 305 ] Chapter 11 Performance Moni
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[ 307 ] Chapter 11 The Disk I/O cou
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[ 309 ] Chapter 11 As well as givin
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[ 311 ] Chapter 11 With the 64 bit
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[ 313 ] Chapter 11 However, it take
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[ 315 ] Chapter 11 In both cases, t
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[ 317 ] Chapter 11 Monitoring proce
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[ 319 ] Chapter 11 Looking at these
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[ 321 ] Chapter 11 Monitoring Proce
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[ 323 ] Chapter 11 Despite the lack
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• • • • • ° ° ° ° Get
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[ 327 ] Chapter 11 Monitoring queri
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[ 329 ] Chapter 11 The result of th
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[ 331 ] Chapter 11 We could use all
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Symbols % Processor Time process ca
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common calculations 132 errors 152
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data, modeling 117-122 drillthrough
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Memory Usage KB 321 MSSQLServer OLA
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parent/child hierarchy, NamingTempl
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Thank you for buying Expert Cube De
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SharePoint Designer Tutorial: Worki
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Expert Cube Development with Microsoft SQL Server 2008

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