master data management

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1 AIS EMEA IST Information Classification: Limited Access Knowledge Transfer Session 2 Monica Opris DW Developer Master Data Management

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Knowledge Transfer Session 2

Monica Opris

DW Developer

Master Data Management

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Outline

1. Master Data Management (MDM)

2. Data Quality Services (DQS)

3. Master Data Services (MDS)

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1.1 Why do we need Master Data Management?

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1.2 Master Data Management core functions

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2. DQS Overview

Data Issues: -incomplete

-inconsistent

-inaccurate

-invalid

-duplication

DQS -Knowledge base

-Domain

-Knowledge Discovery

-Cleansing

-Matching

-Reference Data

DQS Components -DQS Server

a) DQS_MAIN

b) DQS_PROJECTS

c) DQS_STAGING_DATA

-DQS Client

Management UI

Cleansing Transform

Data Profiling -SSIS Data Flow

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2.1 DQS Installing tool

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2.2 DQS Overview

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2.3 DQS Demo

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2.4 DQS Cleansing SSIS components

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3 Master Data Services overview

Master Data Management -centralised master lists for non-

transactional data

-master data = people, places,

concepts or things

-improves data quality

Master Data Services -tools for implementing and

managing MDM solutions

-versioning, transactions,

business rules, import/export

MDS components -MDS database

-Configuration Manager

-Master Data Manager

-Web Service

-MDSModelDeploy.exe

-Excel Add In

MDS Objects-Models - databases

-Entities - tables

-Attributes - columns

-Hierarchies

-Members – rows of data

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3.1 Install Master Data Services

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3.2 MDS Detailed Architecture

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3.3 Master Data Services

STARS

GALAXY

INVESTRAN

MDS DW

Downstream

System

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3.6.1 MDM vs Data Warehouse

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3.6.2 MDM vs Data Warehouse

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3.8 Master Data Services – Types of users

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Models are the highest level of data organization in Master Data Services. A model defines

the structure of data in your master data management solution. A model contains the

following objects:

• Entities

• Attributes and attribute groups

• Explicit and derived hierarchies

• Collections

Accounts – which should include entities such as balance sheet accounts, income

statement accounts, statistics and account type.

Customer – which could include entities such as gender, education, occupation and marital

status.

Geography – which could include entities such as postal codes, cities, counties, states,

provinces, regions, territories, countries and continents.

3.9 Master Data Services - Models

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In order to ensure the quality and accuracy of your master data these are the following

features that are available to you:

• Business rules – automatically update data, send email, start a business process or workflow

• Validation – business rule – data type content validations

• Versions – audit records, prevent form from making changes, lock down models

• Notifications – send email when biz rule fails or model version status changes

• Security

3.10 Master Data Services – Improving Data Quality

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• Importing Data

o Import data into Staging Tables and process the staged data as batch

– Stg_nameLeaf

– Stg_nameConsolidated

– Stg_nameRelationship

• Exporting Data

o Subscribe systems can view data through subscription views

• Deploying Models

o Package, XML format which contains a deployable model structure

– Tools: MDSModelDeploy, Model Deployment wizard, Model Package Editor

3.11 Master Data Services – Moving Data

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Resources

• MSDN, Master Data Services - http://msdn.microsoft.com/en-us/sqlserver/ff943581

• Channel 9, Master Data Services - http://channel9.msdn.com/Tags/master+data+services

• SQL Chick’s Blog - http://www.sqlchick.com/entries/2011/4/24/resources-for-learning-

master-data-services.html

• Amazon, Master Data Services in SQL 2012 - http://www.amazon.com/Microsoft-Server-

2012-Master-Services/dp/0071797858/ref=sr_1_1?ie=UTF8&qid=1355543695&sr=8-

1&keywords=Book+Microsoft+SQL+Server+2012+Master+Data+Services:

• TechNet, Master Data Services - http://technet.microsoft.com/en-

us/sqlserver/hh709036.aspx

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Thank you