Expert Cube Development with Microsoft SQL Server 2008

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Authors Chris Webb Alberto Ferrari Marco Russo Reviewers Stephen Gordon Christie Deepak Puri Acquisition Editor James Lumsden Development Editor Dhiraj Chandiramani Technical Editors Abhinav Prasoon Gaurav Datar Chaitanya Apte Ishita Dhabalia Gagandeep Singh Credits Editorial Team Leader Gagandeep Singh Project Team Leader Lata Basantani Copy Editor Leonard D'Silva Project Coordinator Joel Goveya Proofreader Laura Booth Indexer Rekha Nair Download at Boykma.Com Production Coordinator Aparna Bhagat Cover Work Aparna Bhagat
About the Authors Chris Webb (chris@crossjoin.co.uk) has been working with Microsoft Business Intelligence tools for almost ten years in a variety of roles and industries. He is an independent consultant and trainer based in the UK, specializing in Microsoft SQL Server Analysis Services and the MDX query language. He is the co-author of MDX Solutions for Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase, Wiley, 0471748080, is a regular speaker at conferences, and blogs on Business Intelligence (BI) at http://cwebbbi.spaces.live.com. He is a recipient of Microsoft's Most Valuable Professional award for his work in the SQL Server community. First and foremost, I'd like to thank my wife Helen and my two daughters Natasha and Amelia for putting up with me while I've been working on this book. I'd also like to thank everyone who's helped answer all the questions I came up with in the course of writing it: Deepak Puri, Darren Gosbell, David Elliott, Mark Garner, Edward Melomed, Gary Floyd, Greg Galloway, Mosha Pasumansky, Sacha Tomey, Teo Lachev, Thomas Ivarsson, and Vidas Matelis. I'm grateful to you all. Download at Boykma.Com
Page 2 and 3: Expert Cube Development with Micros
Page 6 and 7: Alberto Ferrari (alberto.ferrari@sq
Page 8 and 9: Table of Contents Preface 1 Chapter
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
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[ 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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