data mining solutions use OLAP
modeling constructs (cubes and dimensions) and MOLAP, ROLAP, or HOLAP storage
that use disk as the primary data storage for pre-aggregated data.
Tabular solutions use
relational modeling constructs such as
tables and relationships for modeling data, and the in-memory analytics engine
for storing and calculating data. Most, if not all, of the model is stored in
RAM and is often much faster than its multidimensional counterpart.
If the data you need to load is many
terabytes in size, a tabular
solution might not meet your requirements if available memory cannot
accommodate the data.
Tabular solutions only support one model.bim
file per solution, which means that all work must be done in a single file.
Development teams that are accustomed to working with multiple projects in a
single solution might need to revise how they work when building a shared
model databases support DAX
calculations, DAX queries, and MDX queries.
model databases support MDX
calculations and MDX queries as well as ASSL.
· Tabular model databases can use row-level
security, using role-based permissions in Analysis Services.
· Multidimensional model databases can use
dimension and cell-level security, using role-based permissions in Analysis
View in Office 365 or Power BI sites
View in SharePoint on-premises
View,as a ClickOnce application from SharePoint, can use either an
Analysis Services cube or tabular model.
Tabular models do not support linked
tables. When importing from a PowerPivot workbook that contains a linked table,
linked table data is treated as copy\pasted data and stored in the Model.bim file. When viewing properties for a copy\pasted
table, the Source Data property
is disabled and the Table Properties dialog
on the Table menu is disabled
· Experienced SSRS – Report Model Developer
· Experienced with Microsoft BISM
· Experienced with Microsoft SSAS – Tabular
Model design and development
· Experience with PowerPivot; PowerView; SSRS Alerts; PerformancePoint(dashbaord);
PowerQuery; SharePoint 2010-2013
PerformancePoint Dashboard Designer
Dashboard Designer is a tool that you can use to create dashboards, scorecards,
and reports and publish them to a SharePoint site. Dashboard Designer is part
of PerformancePoint Services in Microsoft SharePoint Server 2010.
a BI Semantic Model Connection to a Tabular Model Database
After you set
permissions in Analysis Services, you can return to SharePoint and create a BI
semantic model connection.
- In the library that will contain the BI semantic model
connection, click Documents on the SharePoint ribbon.
- Click the down arrow on New Document, and select BI
Semantic Model Connection File to open the New BI Semantic Model
- Set both Server and Database properties.
If you are unsure of the database name, use SQL Server Management Studio
to view a list of the databases that are deployed on the server.
Server name is either the network name of the server, the IP address,
or the fully qualified domain name (for example,
myserver.mydomain.corp.adventure-works.com). If the server is installed as a
named instance, enter the server name in this format: computername\instancename.
Database must be a tabular database that is currently available on
the server. Do not specify another BI semantic model connection file, an Office
Data Connection (.odc) file, an Analysis Services
OLAP database, or a PowerPivot workbook. To get the database name, you can use
Management Studio to connect to the server and view the list of available
databases. Use the property page of the database to ensure you have the correct
- Click OK to save the page. At this
point, the PowerPivot service application will verify the connection.
Microsoft BISM -
Business Intelligence Semantic Model
The Microsoft BI
Semantic Model or BISM is a new term introduced with the release of SQL
Server 2012. It refers to the way Analysis Services and PowerPivot can be used
as a semantic layer, on top of other data, for reporting purposes. Rather than
being a product on its own, it is a conceptual term to describe the different
options you have within Analysis Services 2012.
With SQL Server 2012, the ‘Tabular Model' was introduced next to the already existing
Multidimensional Model (based on cubes). The Tabular Model however is not build
around a cube like the Multidimensional Model, but is based on tables, relationships,
in-memory storage (VertiPaq) and columnstore
So actually, the term BISM
is more or less the same as the term Analysis Services, which since 2012 has 2
types of models to work with. The Tabular Model that is
faster and easier to develop and the Multidimensional Model, which has more
advanced options and features.
With the new column store index available in SQL Server
2012, a new possibility appears since the index column store can dramatically
improve the performance of a Data Warehouse query on your relational database.
There are some limitations associated with the DirectQuery
Only DAX is supported
which means that it can only be used from Power View (i.e. you cannot browse it
from an Excel Pivot Table).
Time calculations are not supported.
Calculated columns are not supported.
The lower the
cardinality of your column (cardinality means the number of distinct
values), the higher the compression rate of your data. This means that you
should avoid including data like transaction identifiers, timestamps, etc. in
your model to reduce the amount of memory requir
The results of DAX
queries are never saved within the cache which means that DAX queries will
always take the same time to execute.
One important difference
is that you can only use one column to establish relationships between tables
in a Tabular project whereas in Multi-Dimensional projects you can use multiple
columns. This reinforces the need to enable a solid Data Warehouse with
appropriate surrogate keys before you start using a Tabular project
Some limitations of
Tabular compared to Multidimensional:
You cannot define role-playing dimensions (this was
especially useful for the Date dimension)
You cannot define Many-to-Many Relationships (there are some
workarounds to get the same results but you will have to use very complex DAX
You cannot define a Parent-Child hierarchy
Custom Rollups are not supported (especially useful when
aggregating data following a chart of accounts)
You cannot define Actions (Drill trough, Reporting, etc.)
Write-back is not supported
important distinction between both models is that with the Tabular model
you can import directly from an existing PowerPivot model. This means that you
can easily transfer a personal BI application developed by a Business Analyst
to the IT department.
Power View provides
intuitive ad-hoc reporting for end-users. They can easily create and interact
with views of data from data models based on tabular models. Power View is a
browser-based Silverlight application launched from SharePoint Server 2010
A last remark, native DAX queries can sometimes be faster
than MDX queries, which explains why under some
circumstances the same report will be faster when executed from Power View
instead of another reporting tool (i.e. Microsoft Excel).
One difference is worth mentioning: the Tabular model does
not support parallel processing of partitions which can have significant impact
on the processing time.
- More performant than OLAP in majority of the case.
- Easier to develop than Multidimensional model.
- Technology for the future.
- Integration with Power Pivot.
- Mature Technology.
- Scalable Technology able to handle very large volume
- Able to cope with advanced modeling/ computations
- New product so still enhancements to come.
- Limited to RAM available (= midsized project).
- Missing some advanced computations available with
- Cannot be used with Power View.
- No major innovations to expect in this product in the
- Higher complexity than Tabular.
For more information check: https://msdn.microsoft.com/en-us/library/hh212940.aspx