Introduction to Master Data Services in SQL Server 2012
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Stéphane Fréchette introduces Master Data Services in SQL Server 2012. MDS provides a central data hub that ensures consistency across applications by standardizing, cleansing, and enriching master data. It allows business users to directly manage underlying databases using Excel. MDS includes features for improving data quality like business rules, validation, versions, and notifications. Data can be imported, exported, and deployed between systems. The presentation demonstrates MDS and discusses how it is part of Microsoft's Enterprise Information Management stack for master data management.
Introduction to Master Data Services in SQL Server 2012
- 1. Master Data Services in SQL Server 2012 (An Introduction) Stéphane Fréchette Thursday May 30, 2013
- 2. Who am I? My name is Stéphane Fréchette I’m a Database & Business Intelligence Professional and CEO | Founder of I have a passion for architecting, designing and building solutions that matter. Self proclaimed Open Data Hacker/Advocate I founded Gatineau Ouverte a citizen led initiative which aims to promote open access to civic data of the city of Gatineau. Twitter: @sfrechette Email: stephanefrechette@ukubu.com Blog: stephanefrechette.com
- 3. Session Outline • Microsoft Business Intelligence (The Stack) • What is Master Data? • What is Master Data Management? • Do you have these issues? • SQL Server Master Data Services (MDS) • MDS - Key Capabilities • Data Steward • MDS – Models, Improving Data Quality, Moving Data, Web Service • Demo • Summary • Resources
- 4. Analysis Services Reporting Services Integration Services Master Data Services SharePoint Collaboration Excel Workbooks PowerPivot Applications SharePoint Dashboards & Scorecards Data Quality Services OData Feeds Line of Business Applications Hadoop Big Data Microsoft Business Intelligence
- 5. What is Master Data? “Master Data is data that is at the core of an organization and used across multiple systems, applications, and/or processes…” Requires; • Centralized curated activities and maintenance • Data Quality Management • Easy access for business users (not only IT) • Effective collaboration and sharing
- 6. What is Master Data Management? “Are sets of processes, governance, policies, standards and tools that defines and manage Master Data…”
- 7. Why is Master Data Management Important? • Reduces, eliminate duplicate data entry and maintenance • Improve compliance, reporting, profitability, decision making and data quality • Enables data stewards to manage critical business data • Provide a single view of critical information funnels
- 8. Why is Master Data Management Important?
- 9. Do you have these issues? • Instances or sets of invalid data impacting business processes? • Wish your business users could manage the data themselves? • IT resources fixing data and/or managing hierarchy definitions for users? • Systems which could benefit from a single source view of domain data? SQL Server Master Data Services can help you!
- 10. What type of Data are we taking about? People Things Places Abstract Customers Vendors Employees Partners Patients Products Business Units Bill of Materials Parts Equipment Locations Stores Power Lines Geographic Areas Warehouses Accounts Warranties Time Metrics Contracts
- 11. Domain, Entities (Data warehouse) Here Here
- 12. SQL Server Master Data Services (MDS) SQL Server Master Data Services provides a central data hub that ensures the integrity of information and consistency of data is constant across different applications. Enables cleansing, matching, standardizing and enriching data. • New in SQL Server 2012; Redesigned web interface to add, delete, and move members quickly. Excel front-end (MDS add-in) allowing business users to autonomously add and edit data in the underlying systems on their own. Improved performance, security, robustness, and scalability. Integrated with Data Quality Services (DQS) to do data matching before loading. Installation part of SQL Server.
- 13. Master Data Services – Key Capabilities Create Master Data By Standardizing Data Definitions For Key Business Entities • Collect and maintain accurate and complete master data to ensure standardized data definitions of key business entities across all of your IT assets. Manage data consistency across different environments. (Oracle, Microsoft SQL Azure, HP, and IBM) Manage the superset of all data attributes across all systems. Create explicit hierarchies based on traditional parent-child relationships. Produce derived hierarchies from pre-existing data relationships found within master data models.
- 14. Master Data Services – Key Capabilities Create a Master Data Hub for Your Enterprise • Implement a master data management hub to manage the master data that is stored in the database and keep it synchronized with the transactional systems that use the master data. Effectively track all known attributes across the enterprise. Create versions for each model at different time intervals. Commit versions of master data only after business rules have been met.
- 15. Master Data Services – Key Capabilities Empower Business Users to Manage Data Governance • Trust the experience of business-knowledgeable users, so organizations can improve master data maintenance and avoid the delays and mistakes that occur when non- business specialists manage and maintain data. End users can directly manage the underlying database and data warehouse dimensions and hierarchies using Excel. Free IT responsibilities so they can focus on the oversight of the overall data warehouse.
- 16. Data Steward • Key role - Is usually a Business User and not from the Information Technology side • Nutshell: Responsible for maintaining data elements in a metadata registry… • Data Steward -> MDS Client (Web based and Excel add-in) • Create and edit Models, Hierarchies, Business Rules… • Run, process and validate data continually, iteratively, improving… • Maintain high level of data quality MDS/DQS Data Steward MDS/DQS Data Steward DQS SSIS Developer Matching Cleansing Create & Edit
- 17. Master Data Services - Type of Users Business users – Data stewards - Functional area Administrators - Administrative area
- 18. Master Data Services – Models 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 could 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.
- 19. Master Data Services – Improving Data Quality 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 from making changes, lock down models) • Notifications (Send email when biz rule fails or model version status changes) • Security
- 20. Master Data Services – Moving Data • Importing Data Import data into Staging Tables and process the staged data as batch o stg_nameLeaf o stg_nameConsolidated o stg_nameRelationship • Exporting Data Subscribe systems can view data through subscription views • Deploying Models Package, XML format which contains a deployable model structure o Tools: MDSModelDeploy, Model Deployment wizard, Model Package Editor
- 21. Master Data Services – Extending with Web Services • Master Data Manager Web Service • WCF service that enables you to control MDS programmatically • Custom Workflows • A custom workflow calls code that you write, which can take whatever action you require to process the workflow. Developer’s Guide (Master Data Services) http://msdn.microsoft.com/en-us/library/hh230994.aspx
- 23. Enterprise Information Management (EIM) The EIM Stack as a whole is the ‘Master Data Management’ solution from Microsoft and consist of the following: • SQL Server Data Quality Services (DQS) - Capture and record knowledge, rules, and actions • SQL Server Master Data Services (MDS) - Master Data Management repository, Dimension data • SQL Server Integration Services (SSIS) – Moves data, integration Enterprise Information Management (EMI) ‘Master Data Management’
- 24. Summary Master Data Management issues are pervasive within organizations and will always exist. SQL Server Master Data Services is built to be deployed rapidly, the intent is to make it accessible for all type of organizations and enable them to create solutions for themselves. An implementation can be successfully achieved by business users without any programming knowledge.
- 25. Resources • SQL Server 2012 Master Data Services - http://bit.ly/16ei8w0 • MSDN, Master Data Services - http://bit.ly/z8crur • TechNet, Master Data Services - http://bit.ly/12BfwBH • Channel 9, Master Data Services - http://bit.ly/19ab2Y4 • Master Data Services Team Blog - http://bit.ly/170Ecuc • James Serra’s Blog - http://bit.ly/M3MYI2 • SQL Chick’s Blog - http://bit.ly/ietII4 • Amazon, Microsoft SQL Server 2012 Master Data Services - http://amzn.to/UtVHaO
- 26. What Questions Do You Have?
- 27. Thank You For attending this session