tabular mode and bism intro

8/8/2019 Tabular Mode and BISM Intro

1/22

SQL Server Analysis Services

Introduction to Tabular Mode and BISM


2/22

Josh Fennessy

• BI Architect – BlueGranite, Inc (http://www.blue-ranite.co!"

http://www.blue-granite.com/http://www.blue-granite.com/


3/22

Agenda

• Anal#$i$ Ser%ice$ – be&ore toda#

• The BI Se!antic Model

• Tabular Mode Architecture• 'e!on$tration

• e%iew / )ue$tion$ / co!!ent$


4/22

QL ERVER ANALY I

ERVICE

A brie& hi$tor#


5/22

SSAS’ story

• Ba$ed on *+A technolo# purcha$ed b# MST &ro! anora!aSo&tware in 0

• *&&iciall# relea$ed in 1 a$ 2*+A Ser%ice$ in S3+ 4.5

• ena!ed in S3+ 6555 to SSAS

• Man# new &eature$ deli%ered in SSAS 6557

– 'ata !inin

– 8'M


6/22

ANALY I ERVICE T!AY

Broad adoption

“Customers in the Magic Quadrant survey report that their Microsoft averagedeployment sizes are now larger than any other vendor in the survey in termsof users.”

“Use of OL! functionality "y Microsoft customers is more than dou"le that forthe rest of the survey respondents.”

#ource$ %artner Magic Quadrant for &' !latforms( )*++

Highest rated infrastructure and development tools

“Microsoft customers rate its &' platform infrastructure and development tools among the highest compared toother vendors( and a higher percentage of customers use them e,tensively.”


Large ecosystem

-ide availa"ility of s/ills is among the top reasons customers select Microsoft over competing vendors.”


http://www.gartner.com/technology/media-products/reprints/microsoft/vol2/article15/article15.htmlhttp://www.gartner.com/technology/media-products/reprints/microsoft/vol2/article15/article15.htmlhttp://www.gartner.com/technology/media-products/reprints/microsoft/vol2/article15/article15.htmlhttp://www.gartner.com/technology/media-products/reprints/microsoft/vol2/article15/article15.htmlhttp://www.gartner.com/technology/media-products/reprints/microsoft/vol2/article15/article15.htmlhttp://www.gartner.com/technology/media-products/reprints/microsoft/vol2/article15/article15.html


7/22

Analysis ServicesVision

BI SemanticModel

Build on the strengths

and success ofAnalysis Services andexpand its reach to amuch broader userbase

Embrace the relationaldata model – wellunderstood bydevelopers and I !ros

Bring together therelational andmultidimensional

models under asingle uni"ed BIplatform – best ofboth worlds#

!rovide $exibility in theplatform to suit thediverse needs of BIapplications

ANALY I ERVICE T"RR#


8/22

$%siness Intelligence

Se&antic "odel


9/22

$I E"ANTIC "!EL

One Model for all End User Experiences

%lient oolsAnalytics& 'eports& Scorecards&

(ashboards& %ustom Apps

(ata Sources(atabases& )*B Applications& *(ata +eeds&

Spreadsheets& ext +iles

BI Semantic Model

(ata model

Business logicand ,ueries

(ata access

eam BI!ower!ivot for

Share!oint

!ersonal BI!ower!ivot for

Excel

*rgani-ational BIAnalysisServices


10/22

$I Se&antic "odel#hat a'o%t e(isting Analysis Services a))lications*

.ew applications

.ew technology options

/(enali0

ExistingapplicationsBased on 1ni"ed (imensional

Model

ExistingapplicationsEvery 1(M becomes a BI

Semantic Model

ExistingapplicationsBased on 1ni"ed (imensional

Model

After 'M


11/22

BI Semantic Model

(ata model


(ata access '*)A! M*)A! Verti!a,(irect2uery

M(3 (A3

Multi4dimensional

abular

hird4partyapplications

'eportingServices

Excel !ower!ivot

(atabases )*B Applications +iles *(ata +eeds %loud Services

Share!ointInsights

$I " ARC+ITECT,RE


12/22

$I " FEAT,RE

• ich data !odelin

capabilitie$

• Sophi$ticated bu$ine$$

loic u$in M'9 and 'A9

• ine-rained $ecurit# –

row/cell le%el

• nterpri$e capabilitie$ –

!ulti-lanuae and

per$pecti%e$

'ichness• ;ertia) &or hih

per&or!ance, M*+A &or

!i$$ion critical $cale

• 'irect3uer# and *+A

&or real-ti!e acce$$ to

data $ource$• State-o&-the-art

co!pre$$ion alorith!$

• Scale$ to lare$t

enterpri$e $er%er$

Scalability• Multi-di!en$ional and tabular

!odelin e


13/22

CENARI- E.CEL VER ALE

"!EL

BI Semantic Model

(ata model


(ata access

S2) Server (ynamics %'M

End1ser

Model (eveloper

M(3 (A3

Multi4

dimensional abular

Verti!a,


14/22

#+AT !E $I " ! FR

"E*3ui> ti!e? ic@ which one i$ a Tabular Model.


15/22

A !ATA ACCE / TRA0E

xVelocity

In4memory column store5typical 67x compression

Brute force memory scans5high performance by default5no tuning re,uired

Basic paging support5 data

volume mostly limited tophysical memory

MOLAP

(is8 based store5 typical 9xcompression

(is8 scans with in4memorysubcube caching5 aggregationtuning re,uired

Extensive paging support5

data volumes can scale tomultiple terabytes

DirectQuery

!asses through (A3 ,ueries :calculations5 fully exploitsbac8end database capabilities

.o support for M(3 ,ueries5no support for data sourcesother than S2) Server ;in

(enali<

OLAP

!asses through fact tablere,uests5 not recommendedfor large dimension tables

Supports most relational datasources5 no support foraggregations except S2)

Server indexed views


16/22

C, T" CALC,LATIN

DA! Based on Excel formulas and

relational concepts – easy toget started

%omplex solutions re,uiresteeper learning curve –row="lter context& %alculate&etc>

%alculated columns enablenew scenarios& however nonamed sets or calcmembers

MD! Based on understanding of

multidimensional concepts –higher initial learning curve

%omplex solutions re,uiresteeper learning curve –%urrentMember& overwritesemantics& etc>

Ideally suited for apps thatneed the power ofmultidimensionalcalculations – scopes&assignments& calc members


17/22

+# +,L! I $,IL! "Y

A L,TIN*

wo Visual Studio ;BI(S< pro?ect types in (enali Multidimensional pro?ect – with M(3 and M*)A!='*)A!

abular pro?ect – with (A3 and Verti!a,=(irect2uery

Some %onsiderations

• %ube write4bac8 needed@• !arent=%hild needed@• == +iscal %alendars• Excessive Many to Many• Extreme data volumes• )arge M( investment@• )arge 'AM footprint a

negative@• +inancial models

;budgeting=forecasting<

• 'eal4time ;(irect 2uery<• %ounting whatCs not present• Excel4based Modeling

Attractive@• .on4relational data sources@

• In4memory performancebene"t• )ower learning curve

desirable@• Simpler models ;Sales& *)!

transaction analysis& etc><

"avors Multi#dim$MD! "avors %a&ular$DA!


18/22

T+ER T+,0+T 1

Multidimensional isnCt dead (A3 doesnCt address some common modeling

re,uirements Vertipa, has more limited storage ;models must "t in'AM<

Many simple data modeling tas8s are easier in (A3D manycomplex ones are easier in M(3

As (A3=BISM evolves it will close the gap& but not for acouple years

At 'M !ower View is a abular4only technology his will probably force a decision to tabular in some

scenarios Business Analytics is complex no matter what expression

language is used (A3 isnCt a silver bullet& but it probably is easier to learn to

implement basic=intermediate calculations than M(3 forthose new to *)A!

Should I port my Multidimensional cube to abular during

migration@ If calculations arenCt com lex and all necessar features


19/22

T+ER T+,0+T 1

!rocess for Multidimensional to abular migration Evaluate features in the gap

Many4to4many ;can be done in calculations however<

!arent=%hild %ube writebac8 %alculated members Etc>

ow diFcult to rewrite calculations in (A3@ Is the data too large for abular mode@ ;terabytesG< Hill the server have enough 'AM@ Existing application impact@ (oes abular=(A3 solve unmet needs@

Multi4select issues in calculations

%ounting whatCs not there needs !erformance issues ;ad4hoc w=o aggregation issues<


20/22

Demo


21/22

REVIE#

• BISM is designed to ma8e 1SE' experience

smoother

• %omplexity still exists in data modeling

• Multi4dimensional is not gone

• (A3 is still complex


22/22

T+AN2 Y,3

3ue$tion$ !ail !e - &enne$$#Cblue-ranite.co!

tabular mode and bism intro

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