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MDM is an approach to reducing data redundancy by maintaining a definitive "record of truth," or master data, for critical data in order to supply a single source as a reference. Ideally, MDM organizes data sharing among multiple applications or departments.

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The easiest and most common change handling is via batch updates. However, latency between batch updates may cause business process issues.  

  • How is DI Data Integration handled?

Transferring data between systems can be a daunting task. Some applications have built-in adaptors to handle transformations, but these generally handle only a subset of the required data. Where the built-in adaptors fall short or don't exist, an organization may spend resources developing "one-off" adaptors to meet an ongoing transformation need. 

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Data records are the latest, most recent version of a record stored in many systems connected to YOUnite. Master data is data in a particular domain or a particular element that has been declared the "Record of Truth." It's not always necessary or appropriate for systems to access an organization's master data. Many data access requests are for data records that may or may not contain master data. However, YOUnite has the ability to propagate changes from a system that contains data records to others in the YOUnite ecosystem on a permission-appropriate basis (i.e. governance).

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Several terms have been introduced and it may be helpful to review them before moving on:

  • Access Control Lists (ACLs)  Data controls that control inbound/outbound messages for any given system, application, or role.
  • Adaptor  Software located within a system that shares data through the YOUnite Data Hub and acts as the connection point between a system and the YOUniteData Hub. It focuses on ETL (Extract, Transform, and Load) functions, ensuring the outbound data from a system meets the YOUnite Data Hub format requirements, transforming inbound data from the hub into what other systems require.
  • Data Domain (Domain)  A domain refers to a data entity model such as student, course, or customer, etc. and is defined by the parties responsible for data governance. It is a set of fields or properties that define a set of data (i.e. a domain may be a "Student" that includes data definitions (properties) such as student name, address, etc.).
  • Data Governance  Governance  Managing data access (i.e. who accesses certain data sets based on role, application, etc. defining where the Master Data is stored).
  • Data Integration (DI)  The process of keeping data up to date between disparate systems.
  • Data Record  The latest (most recent) version of a given record. More technically, JSON objects in motion that follow the data domain model schema of the MDM ecosystem.
  • Federated MDM  An MDM model in which the data handled through MDM is not stored centrally in MDM-handled data is retrieved by the Data Hub but instead via a reference to the data is stored that points to the the data's source system where (i.e. the data hub can retrieve the data. is not stored centrally in the Data Hub).
  • Master Data (MD)  The master or golden version of a record (for a customer, for example). The "record of truth" as declared by a Data Governance Steward (DGS) or Zone Data Steward (ZDS).
  • Master Data Management (MDM)  An approach to reducing data redundancy across systems by maintaining a master file for critical data. MDM is the process of describing and cataloging data inside of an organization and understanding which stakeholders value which sources of data. It is an approach to reducing data redundancy across systems by maintaining a master file for critical data.
  • YOUnite Data Store/MDM Data Store Store  A centralized store natively connected to the YOUnite Data Hub that holds data records. The domains configured for this data store are locked in as the source of master data for that domain in the Tenant.
  • YOUnite Data Hub  The scaleable web application that handles the API and message broker requests through which adaptors and the YOUnite API consumers communicate.

Further Reading

An good source for more MDM background is Mark Allen and Cervo Dalton's Multi-domain Master Data Management: Advanced MDM and Data Governance in Practice. Waltham, MA: Morgan Kaufmann, 2015. (ISBM 978-0-12-800835-5).

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