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Introduction To
Tabular ModelDevelopment DAX
Storage ModesChoosing the
right model
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Multidimensional Tabular
SSAS Multi
DimensionalSSAS Tabular
PowerPivot
for SharePoint
PowerPivot
for Excel
Corporate BI Corporate BI Team BI Personal BI
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In Memory Engine
Multi Dimensional needs a learning curve
Integration with PowerPivot for Self
Service BI
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Pros:
• Real time
• Scalability
• Consistency
Cons:
• Restricted client tools: Power View, SSRS
• Restricted DAX functions
• No Row Level Security
• No Calculated Columns
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Pros:
• Performance
• All functionality of SSAS Tabular
• Many choices of client tools : SSRS, Power View, Excel ,
MDX client tools
• Many supported data sources
Cons:
• Needs Memory and Processor
• Data out of date
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Direct Query
with In
Memory
In Memory
with Direct
Query
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Pros
• Real time / and In Memory
• Partitioning
Cons
• No calculated columns
• No Row Level Security
• Limited DAX functions
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Query mode When to use
In Memory Full Features, When there is no limitation on resources
DirectQuery Use when Power View is the only reporting client for a DirectQuery
enabled model.
DirectQuery with
In-Memory
Use when Power View is the default client for querying the model.
In-Memory with
DirectQuery
Use when the default client for querying the model is an MDX-issuing
client. Do not use when BISM files are used to connect to Power View.
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Tabular
• Performance
• Simplicity
Multidimensional
• Mature Technology
• Translations,
actions, and extra
features
• Sync databases
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SSAS Tabular
• Team
Development
• Versioning,
Source Control
PowerPivot
• Power User
• Rapid response
to business
problems
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Introduction To
Tabular ModelDevelopment DAX
Storage ModesChoosing the
right model
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