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Data integration has been the primary method of resolving data disparity for decades. However, integration brings challenges with multiple copies of data and many data pipelines. Data interoperability is quickly becoming a practical alternative to copy-based data integration. Interoperability eliminates the proliferation of data copies and reduces the number and complexity of ETL processes and data pipelines. Interoperability also supports agility and adaptability. Data is not force-fitted into a rigid schema but instead positioned as independent components that can be configured to fit many different use cases.
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Making data interoperable begins with data architecture to identify interoperability patterns and weave them into your existing data management architecture. Knowing what patterns you'll use – APIs, data products, data contracts, semantic mapping, open links, etc. – is an essential first step. Next, you'll need to identify the technologies needed to enable each pattern and fit them into your technology stack. With those pieces in place, you're ready to provide design guidelines and begin migration planning.
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You will learn:
- What data interoperability is and why it is important
- The full scope of data management architecture – operational and analytical data
- How operational data management practices contributes to data friction and technical debt
- How analytical data management practices become barriers to data interoperability
- How data interoperability mitigates data friction and reduces technical debt
- How existing data management architecture can be adapted for interoperability
- Semantic data modeling and mapping as the foundation of data interoperability
- Interoperability patterns using APIs, data products, data contracts, and data virtualization
- How a semantic layer works as the nucleus of data interoperability
This course is geared towards:
- Practicing and aspiring data architects of all types – enterprise data architects, analytical data architects, operational data architects, and application data architects
- Practicing and aspiring data engineers of all types – data product engineers, data pipeline engineers, and database engineers
- Data strategists including CDOs, CIOs, and other executives with roles in defining data strategy
- Data warehouse and data lake architects, designers, developers, and implementers
- Master data management (MDM) architects, designers, developers, and implementers
- Application systems architects, designers, developers, and implementers
Module 0. About the Course (3 min)
Module 1. Operational Data Architecture (37 min)
- The Operational Data Landscape
- Managing Operational Data
- An Architectural View of Data Management
- Module Summary
Module 2. Data Interoperability (43 min)
- The What and Why of Data Interoperability
- Architectural Barriers to Data Interoperability
- Module Summary
Module 3. Data Semantic and Data Interoperability (41 min)
- Data Semantics & Data Management
- Semantic Data Modeling
- Semantic Data Mapping
- Module Summary
Module 4. The Enterprise Semantic Layer (56 min)
- Semantic Layer Perspectives
- APIs
- Data Products
- Data Contracts
- Data Virtualization
- Interoperability in Data Management Architecture
- Technology Overview
- Module Summary
Click
- here - to download a more detailed outline of this course.
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This exam tests knowledge and understanding of basic concepts, principles, and terminology of analytics.
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You will be tested in these areas:
- Operational data architecture concepts and complexities
- Management challenges of operational data and operational systems
- Analytical data architecture concepts and complexities
- Management challenges of analytical data and analytical systems
- Core concepts of data interoperability
- The roles and uses of semantics in data management
- The roles and uses of semantics for data interoperability
- Concepts and techniques of semantic data modeling
- Ontology, taxonomy, and graph data modeling
- Architecture and design of an Enterprise Semantic Data Layer
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Additional Information
Number of Questions: 23
Time Limit: 46 minutes
Passing Score: 70%
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Once you pass the exam, you will receive a Certificate of Education
documenting that you have demonstrated mastery of the topic. Course
exams count towards eLC certification programs. Visit our
Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about CIMP exams.
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