sql 2012 enterprise information management with dqs and mds by karan gulati
DESCRIPTION
Session talks about SQL 2012 Enterprise Informatoin ManagmentTRANSCRIPT
Presented by Karan GulatiSr. Support Escalation Engineer (SSAS Maestro)http://blogs.msdn.com/karanghttp://karanspeaks.comTwitter @karangspeaks
Enterprise Information Management with DQS, MDS and SSIS
Agenda
Data Warehousing Concepts Master Data Fact Data
Enterprise Information Management (EIM) What is it and why do we need it?
Microsoft EIM, 3 technologies working together DQS
• Capabilities and Demo MDS
• Capabilities and Demo• SSIS
EIM=DQS+MDS+SSIS Questions
Data Warehousing
A data warehouse is a general structure for storing the data needed for good BI (Business Intelligence).
Data in a warehouse is of little use until it is converted into the information that decision makers need.
The large relational databases, typical of data warehouses, need additional help to convert the data into information.
In data warehouse we have two kinds of data and Master Data Fact Data
Measures or Fact Data
Measures are the key performance indicators that you want to evaluate.
To determine which of the numbers in the data might be measures, here is a rule of thumb: If a number makes sense when it is aggregated, then it is a measure.
Examples Salary Utilization Sales
Dimensions or Master Data
Dimensions are the categories of data analysis.
Here is the rule of thumb: When a report is requested "by" something, that something is usually a
dimension.
Examples Employee Geography Department Products
What is EIM – Enterprise Information Management
The set of capabilities enabling the enterprise to get the right data to the right consumers, reliably, repeatedly, efficiently & with high confidence.
Why Do We Need EIM?
SQL 2012 Enterprise Information ManagementDQS
MDS
SSIS
EIM
Data Quality ServicesKnowledge based Data Cleansing and Matching
Master Data ServicesMaster and reference data Management
Integration ServicesETL and Data Integration Tool
Cleanse
Manage
Integrate
SQL Server Data Quality Services
A knowledge driven Data Quality Solution
What is Data Quality ?
Data Quality represents the degree to which the data is suitable for business usages
Data Quality is built through People + Technology + Processes
Bad Bata Bad Business
What does Data Quality Look Like?
What is SQL 2012 DQS ?
Data Quality Services (DQS) is a Knowledge-Driven data quality solution,
enabling IT Pros and data stewards to easily improve the quality of their data
Terms
• To prepare knowledge for a data quality project, you build and maintain a knowledge base (KB) that DQS can use to identify incorrect or invalid data.
Knowledge Bases
• Knowledge in a knowledge base is maintained in domains, each of which is specific to a data field.
Knowledge Discovery• A computer-assisted process that builds knowledge into a
knowledge base by processing a data sample
Domains
Example of a Knowledge Base
DEMO Time………………
DQS
SQL Server Master Data ServicesSQL Server Master Data Services provides a central data hub that ensures the integrity of information and consistency of data is constant across different applications.
MDS Definitions – Master DataMaster Data – Slowly changing reference data shared across systems
People
• Customers
• Vendors
• Sales people
• Employees
• Partners
• Patients
Things
• Products
• Organizational units
• Recipes
• Parts
• Storage bins
• Documents
Places
• Stores
• Wells
• Power lines
• Geo areas
• Warehouses
Abstract
• Contracts
• Warranties
• Time
• Metrics
• Securities
MDM Challenges
Where is the real Boeing?
Purchasing DBAsset MgmtHR Doc
Boeing Boeing Inc Boeing (Renton) Aut_Boeing Boein’
No single, trusted source of the truth
No dimension maintenance capability
Conflicting views of product, customer location, etc
No system to maintain attributes
Multiple stakeholders for the same record
Inability to enforce data stewardship processes
Inconsistencies cost – mistakes, incorrect reports, etc.
Why do we need MDS
Benefits
Align master data across systems Get a single version of the truth Improve operational consistency Improve reporting consistency Enable users to manage master data securely Simplify the user experience with web-based access Ensure integrity of Information Manage critical hierarchies and master data attributes Be confident that data is accurate and up to date
DEMO Time………………
MDS
ConclusionDQS
MDS
SSIS
EIM
Enterprise Integration Management (EIM) provides an a portfolio of solutions that enable organizations to trust the credibility and consistency of their data so they can make critical business decisions.
Thanks
EIM EBooks• Master Data Services (MDS) Operations Guide• Master Data Services • Data Quality Services
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