top-down bi data modeling msbimn mar 2013 ross mcneely

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Top-Down BIData Modeling

Ross McNeely

C2 IT Solutionswww.c2its.com

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Technically Speaking…CREATE TABLE #Info

(Info_Type VARCHAR (25),Info_Value VARCHAR (50))

INSERT INTO #Information VALUES

('Name','Ross McNeely'),('Email','rossmcneely@outlook.com'),('Company','C2 IT Solutions'),('CompanySite','www.c2its.com'),('LinkedIn','www.linkedin.com/in/rossmcneely')

,('Blog','www.mcneelydwbi.wordpress.com');SELECT Info_Type, Info_Value FROM #Information

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BI Developer

DW Developer

Speaker Bio:

Keeping it Simple…

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-Team of one

-New development

-Waterfall

-EDW

Speaker Bio:

Simplicity Depends…

-One of thirty

-Redo

-Iterative

-Mart

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Typical Questions about Top-Down

Asker Question Answer

BI Developer Do I have to wait for a Data

Warehouse?

 NO

BI Developer Is a Data Warehouse needed? YESDW Developer Is the Data Warehouse built last? NO

DW Developer Is a data model still needed? YES

Power User Do I have to wait for IT? NO

User Will it be correct? IT DEPENDS

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WHERE TO START?

Top-Down BusinessIntelligence Data Modeling

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“So you're telling me there’s a chance.”

SELECTa. Answer_Description

FROM 

dbo. Answer a

JOIN dbo.Question q ON a. A_ID = q . A_ID

 WHERE

a. AnswerCategory = 'Business Intelligence'

 AND (q .Choice = '2B' or q .Choice <> '2B')

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Priority Generator

SELECTROW_NUMBER ()OVER ( PARTITION BY Category

ORDER BY Importance) AS Sequence

,CategoryFROM 

Conundrum 

 WHERE Requirements

BETWEEN 'Hard Place' AND 'Rock'

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Traditional Data Flow

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Integration

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• Define & Identify Top-Down Drivers

• Introduce Top-Down Approach

• Challenges to Top-Down Modeling• Final Thoughts on Top-Down Modeling

Agenda

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DRIVERS & DEFINITIONS

Top-Down BI Data Modeling

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• Businesses focusing on Analytics

• Develop Business Intelligence in an Agile method.• Everyone gets a sandbox

• In-Memory features

• Business Intelligence Platform.

Analytics

In-Memory Platform

Agile

BI Platform Drivers

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•  New capabilities allow Power-Users to develop Business

Intelligence insight without an underlying DW.

• While this works during the development and pilot

 phases it falls apart at the enterprise level.

• I will layout how engaging in data modeling from the top-

down will allow Business Intelligence to be created and

deployed while the Data Warehouse is still in

development.

Technically Speaking…

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Microsoft Platform

-Introducing the BI Semantic Model in Microsoft SQL Server 2012

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White Paper Quote

“Tabluar Modeling, introduced with PowerPivot for Micorosoft

Excel 2010, provides self-service data modeling capabilities to

 business and data analysts…”

-Choosing a Tabluar or Multidimensional Modeling Experience in SQL

Server 2012 Analysis Services

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Top-Down BI Data Modeling

TOP-DOWN APPROACH

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Top-Down BI Data Modeling

- The Approach

• Top-Down:

• The top-down approach is done at the report or report

grouping level.

• Top-Down can be thought as creating the Business Intelligence

first and the Data Warehouse second.

• This allows business users to create reports quickly in order to

answer business questions relating to business opportunities.

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Top-Down BI Data Modeling

- The Approach

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Top-Down BI Data Modeling

- The Approach

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• Rule 1: Consolidate Business Intelligence Semantic

Models

• Rule 2: “First learn rule number one.”

• Rule 3: BISM Best Practices

Top-Down BI Data Modeling

- The Approach

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Top-Down BI Data Modeling

- The Approach

When do you consolidate the models?

Who consolidates the models?

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• How do you consolidate?

Top-Down BI Data Modeling

- The Approach

BISM Normalizer manages Analysis Services

tabular models (SQL Server 2012)

Created by Christian Wade

http://visualstudiogallery.msdn.microsoft.com

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http://visualstudiogallery.msdn.microsoft.com/5be8704f-3412-4048-bfb9-01a78f475c64

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Top-Down BI Data Modeling

TOP-DOWN CHALLENGES

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Top-Down BI Data Modeling

- Challenges

• BI Platforms are still required to be independent of IT for

speed, but managed for accuracy and efficiency by IT.

• This means that the Top-Down and Bottom-Up Approaches

need to be coordinated.

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Top-Down BI Data Modeling

- Challenges

• What happen to the ETL?• BI Platforms are providing…

• Data Consolidation

• Data Associations (Semantic Data)

• Data Dictionary

• Data Definitions

• Data Lineage

• Data TRANSFORMATIONS

• “But, what does this mean”• Data Modelers need to get involved in the beginning (BI).

• Data Modelers need to understand and leverage BI Platforms.

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Top-Down BI Data Modeling

- Challenges

• Initial data model for BI Platform is extremely

important.• A solid model is just as important in the Top-Down Approach as it is

in the Bottom-Up Approach.• Top-Down is dependent on the structural metadata

from the BI Platform.• Data Modelers need to be able to extract the models.

• Expanding and consolidating the data models is crucial

maintenance.

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Power User

Report Report

Develop BI

ModelBI Developer

New BI

Model

BI Model

Consolidation

Power UserBI Developer

DW Developer

Power User

BI Developer

Data

Warehouse

Development

User

Update BI

ModelBI Developer

T  o  p

-D own

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Top-Down BI

Data Modeling

Ross McNeely

C2 IT Solutions

rossmcneely@outlook.comwww.c2its.com

THANK YOU