Introduction To

Tabular ModelDevelopment DAX

Storage ModesChoosing the

right model

Multidimensional Tabular

SSAS Multi

DimensionalSSAS Tabular

PowerPivot

for SharePoint

PowerPivot

for Excel

Corporate BI Corporate BI Team BI Personal BI

In Memory Engine

Multi Dimensional needs a learning curve

Integration with PowerPivot for Self

Service BI

Pros:

• Real time

• Scalability

• Consistency

Cons:

• Restricted client tools: Power View, SSRS

• Restricted DAX functions

• No Row Level Security

• No Calculated Columns

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• Data out of date

Direct Query

with In

Memory

In Memory

with Direct

Query

Pros

• Real time / and In Memory

• Partitioning

Cons

• No calculated columns

• No Row Level Security

• Limited DAX functions

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.

Tabular

• Performance

• Simplicity

Multidimensional

• Mature Technology

• Translations,

actions, and extra

features

• Sync databases

SSAS Tabular

• Team

Development

• Versioning,

Source Control

PowerPivot

• Power User

• Rapid response

to business

problems

Introduction To

Tabular ModelDevelopment DAX

Storage ModesChoosing the

right model