SAP Analytics Cloud Performance Optimization Guide
(Sprache: Englisch)
Frustrated with slow performance in SAP Analytics Cloud? This guide is your answer! Learn the basics of solution performance and optimization and then start making your adjustments: get the story builder and analytics designer apps running smoothly,...
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Frustrated with slow performance in SAP Analytics Cloud? This guide is your answer! Learn the basics of solution performance and optimization and then start making your adjustments: get the story builder and analytics designer apps running smoothly, fine-tune your backend settings, and follow best practices for viewing dashboards. With detailed examples of performance improvements throughout, this book has everything you need for an optimal SAP Analytics Cloud experience!Highlights include:
1) User experience
2) Dashboards
3) Performance analysis
4) Story building
5) Model building
6) Analytics designer
7) Backend and tenant optimization
8) Viewing optimizations
9) Acquired data
10) Live data connections
11) Best practices
Inhaltsverzeichnis zu „SAP Analytics Cloud Performance Optimization Guide “
· ... Preface ... 15· ... Target Audience ... 15
· ... How to Read this Book ... 16
· ... What You Can Expect from This Book ... 16
· ... How This Book Is Organized ... 17
· ... Acknowledgments ... 19
· ... Conclusion ... 19
· 1 ... Introduction ... 21
· 1.1 ... Performance and Its Relation to User Experience ... 22
· 1.2 ... SAP Analytics Cloud Performance ... 30
· 1.3 ... Summary ... 42
· 2 ... Measuring, Testing, and Monitoring Performance ... 45
· 2.1 ... Different Types of Performance Tests ... 46
· 2.2 ... Performance Testing versus Performance Engineering ... 52
· 2.3 ... Performance Testing Process ... 55
· 2.4 ... Defining the Metrics to Measure ... 58
· 2.5 ... Setting Performance Goals ... 64
· 2.6 ... Measuring Performance and System Key Performance Indicators ... 67
· 2.7 ... Creating Benchmark Tests ... 79
· 2.8 ... SAP Analytics Cloud Performance Equation ... 81
· 2.9 ... Ten Golden Rules for Efficient SAP Analytics Cloud Dashboards ... 83
· 2.10 ... Summary ... 89
· 3 ... Optimizing Performance in the Story Builder ... 91
· 3.1 ... General Settings to Improve Performance ... 92
· 3.2 ... Optimizing the Story Design ... 100
· 3.3 ... Optimizing Filters, Calculations, and Linked Analysis ... 118
· 3.4 ... Optimizing Mobile Device Performance ... 124
· 3.5 ... Using the Explorer View to Improve Performance ... 128
· 3.6 ... Planning Scenarios: Optimizing Settings and Advanced Formulas ... 131
· 3.7 ... The Performance Analysis Tool ... 147
· 3.8 ... Best Practices ... 159
· 3.9 ... Summary ... 161
· 4 ... Analytics Designer Performance ... 163
· 4.1 ... Avoiding Poor Performance When Creating an Analytics Application ... 163
· 4.2 ... General Rules to Improve Performance ... 168
· 4.3 ... Optimizing the Application Structure ... 172
· 4.4 ... Optimizing Responsive Design
... mehr
Performance for Mobile and Other Devices ... 184
· 4.5 ... Optimizing Performance for Scripts ... 190
· 4.6 ... Analytics Application Script Performance Popup Tool ... 195
· 4.7 ... Best Practices ... 199
· 4.8 ... Summary ... 200
· 5 ... Modeler Performance ... 203
· 5.1 ... General Modeler Settings to Improve Performance ... 203
· 5.2 ... Choosing an Efficient Model ... 207
· 5.3 ... Performance of Acquired Models and Live Connection Models ... 211
· 5.4 ... Optimizing Performance for Planning Models ... 211
· 5.5 ... Best Practices ... 214
· 5.6 ... Summary ... 215
· 6 ... Optimizing Backend and Tenant Settings ... 217
· 6.1 ... Optimizing Backend Data Storage Connection ... 217
· 6.2 ... Optimizations in the Backend Data ... 222
· 6.3 ... System Configuration Settings to Improve Performance ... 224
· 6.4 ... Best Practices ... 234
· 6.5 ... Summary ... 235
· 7 ... Viewer Choices ... 237
· 7.1 ... Optimizations When Viewing Dashboards ... 237
· 7.2 ... Optimizations When Presenting to Others ... 247
· 7.3 ... Best Practices ... 250
· 7.4 ... Summary ... 251
· 8 ... Optimized Dashboard Using Acquired Data ... 253
· 8.1 ... Scenario ... 253
· 8.2 ... Data Structure ... 257
· 8.3 ... Dashboard Features ... 264
· 8.4 ... Building an Efficient Dashboard ... 265
· 8.5 ... Summary ... 280
· 9 ... Optimized Dashboard Using Live Data Connection ... 281
· 9.1 ... Live Data Connection Scenarios ... 281
· 9.2 ... Data Structure ... 284
· 9.3 ... Dashboard Features ... 292
· 9.4 ... Guidelines for Building an Efficient Dashboard ... 303
· 9.5 ... Summary ... 304
· 10 ... Optimized Dashboard Using the Analytics Designer ... 305
· 10.1 ... Scenario ... 306
· 10.2 ... Data Structure ... 308
· 10.3 ... Dashboard Features ... 314
· 10.4 ... Building an Efficient Dashboard ... 315
· 10.5 ... Summary ... 331
· ... Appendices ... 333
· A ... Further Reading ... 333
· B ... The Authors ... 337
· ... Index ... 339
· 4.5 ... Optimizing Performance for Scripts ... 190
· 4.6 ... Analytics Application Script Performance Popup Tool ... 195
· 4.7 ... Best Practices ... 199
· 4.8 ... Summary ... 200
· 5 ... Modeler Performance ... 203
· 5.1 ... General Modeler Settings to Improve Performance ... 203
· 5.2 ... Choosing an Efficient Model ... 207
· 5.3 ... Performance of Acquired Models and Live Connection Models ... 211
· 5.4 ... Optimizing Performance for Planning Models ... 211
· 5.5 ... Best Practices ... 214
· 5.6 ... Summary ... 215
· 6 ... Optimizing Backend and Tenant Settings ... 217
· 6.1 ... Optimizing Backend Data Storage Connection ... 217
· 6.2 ... Optimizations in the Backend Data ... 222
· 6.3 ... System Configuration Settings to Improve Performance ... 224
· 6.4 ... Best Practices ... 234
· 6.5 ... Summary ... 235
· 7 ... Viewer Choices ... 237
· 7.1 ... Optimizations When Viewing Dashboards ... 237
· 7.2 ... Optimizations When Presenting to Others ... 247
· 7.3 ... Best Practices ... 250
· 7.4 ... Summary ... 251
· 8 ... Optimized Dashboard Using Acquired Data ... 253
· 8.1 ... Scenario ... 253
· 8.2 ... Data Structure ... 257
· 8.3 ... Dashboard Features ... 264
· 8.4 ... Building an Efficient Dashboard ... 265
· 8.5 ... Summary ... 280
· 9 ... Optimized Dashboard Using Live Data Connection ... 281
· 9.1 ... Live Data Connection Scenarios ... 281
· 9.2 ... Data Structure ... 284
· 9.3 ... Dashboard Features ... 292
· 9.4 ... Guidelines for Building an Efficient Dashboard ... 303
· 9.5 ... Summary ... 304
· 10 ... Optimized Dashboard Using the Analytics Designer ... 305
· 10.1 ... Scenario ... 306
· 10.2 ... Data Structure ... 308
· 10.3 ... Dashboard Features ... 314
· 10.4 ... Building an Efficient Dashboard ... 315
· 10.5 ... Summary ... 331
· ... Appendices ... 333
· A ... Further Reading ... 333
· B ... The Authors ... 337
· ... Index ... 339
... weniger
Autoren-Porträt von Erik Bertram, Carl Dannenhauer, Melanie Holzapfel, Sandra Loop, Stephanie Range
Erik Bertram is a software developer who currently leads the Global Design Operations and Services team in the HANA and Analytics organization at SAP. He is responsible for all kinds of customer engagements and operational activities. Before joining SAP in 2016, Erik was working as a postdoctoral researcher at Heidelberg University. He holds a PhD in theoretical astrophysics.
Bibliographische Angaben
- Autoren: Erik Bertram , Carl Dannenhauer , Melanie Holzapfel , Sandra Loop , Stephanie Range
- 2024, 344 Seiten, Maße: 18,2 x 25,9 cm, Gebunden, Englisch
- Verlag: Rheinwerk Verlag GmbH
- ISBN-10: 1493223968
- ISBN-13: 9781493223961
- Erscheinungsdatum: 04.01.2024
Sprache:
Englisch
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