What is data reference architecture?
A reference architecture describes a family of similar systems and standardizes nomenclature, defines key solution elements and relationships among them, collects relevant solution patterns, and provides a framework to classify and compare.
What is Big Data reference architecture?
The NIST Big Data Reference Architecture is organised around five major roles and multiple sub-roles aligned along two axes representing the two Big Data value chains: the Information Value (horizontal axis) and the Information Technology (IT; vertical axis).
What makes up the enterprise data management architecture?
There are four primary features of a modern enterprise data architecture: 1) the data cycle, 2) data storage, 3) an integration platform, and 4) data delivery.
What is reference data in MDM?
Reference data is a special subset of master data that is used for classification throughout your entire organization. It can be used in data management to define the characteristics of an identifier. Whether the data is externally mandated or internally authored, it’s unambiguous and non-negotiable.
What is enterprise reference architecture?
Enterprise Reference Architectures are standardized architectures that provide a frame of reference for a vertical domain or sector. Many domains have their reference architecture definitions.
What is reference architecture diagram?
The reference architecture diagram is a model that represents the current state of infrastructure your solution relies on. For Azure IP solutions, the diagram should also show how your solution uses Microsoft’s cloud services per the technical requirements of IP Co-sell.
What is Lambda and Kappa architecture?
The Kappa architecture solves the redundant part of the Lambda architecture. It is designed with the idea of replaying data. Kappa architecture avoids maintaining two different code bases for the batch and speed layers.
How do you define enterprise architecture?
Enterprise architecture (EA) is a discipline for proactively and holistically leading enterprise responses to disruptive forces by identifying and analyzing the execution of change toward desired business vision and outcomes.
What are the key elements of enterprise data management?
Key Elements of Enterprise Data Management
- Data Governance.
- Data Integration.
- Master Data Management (MDM)
- Data Architecture.
- Data Warehouse & Business Intelligence.
- Metadata Management.
What is an example of reference data?
Reference Data Examples Include: Billing information captured to automate invoice processing. A table describing the key entities in retail transaction data. Clean manufacturing and distribution data used to simplify customer’s transactions. The regulation of pharmaceutical by the U.S. Food and Drug Administration.
How do you manage reference data?
Here are my 5 best practices for managing reference data:
- Formalize reference data management (RDM)
- Subscribe to external reference data.
- Govern internal reference data.
- Manage reference data at the enterprise level.
- Version your reference data.
