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Deriving value from data depends extensively on understanding the data and sharing knowledge among everyone who works with data. Sharing data knowledge is the core purpose of metadata. The common definition of metadata is “data about data.” But that definition doesn’t adequately describe the essential roles of metadata for data management, business intelligence, analytics, and data science. A more meaningful definition states that metadata is “the data and information that is needed by an organization to effectively and efficiently manage its data and information resources.” Just as you need financial data to manage financial resources, you need metadata to manage data resources. In today’s data-driven world, the importance of managing data is certainly on par with that of managing finances.
This online training course is designed to provide the foundational metadata knowledge needed by anyone who has data management roles and responsibilities. It covers metadata basics such as the types and purposes of metadata, and explores core metadata disciplines of data modeling, data profiling, and data cataloging. Metadata roles in data governance, stewardship, security, quality, and analysis are explained.
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You will learn:
- The scope and complexities of metadata management
- The roles of data models as metadata and the basics of data modeling
- The role of data profiling in metadata management and the basics of data profiling methods
- The roles of data catalogs in metadata management and the fundamentals of data curation and data cataloging
- Metadata dependencies of business processes, IT projects, data governance, data quality, business intelligence, self-service data, business analytics, and data science
This course is geared towards:
- Anyone with data management roles and responsibilities
- Data stewards and data governance practitioners and participants
- Data curators and data catalog administrators
- Data and database analysts and designers
- Data quality professionals and practitioners
- Aspiring data modelers who need to start with the basics
- Anyone with a role in information management who needs to understand data or help others to understand data
Metadata Management Fundamentals
About the Course (8 min)
Understanding Data (15 min)
- Views of Data
- Projects Flow
- Describing the Data Meaning
- Describing the Data Constraints
- Describing the Data Relationships
- Describing the Data
Metadata Management (57 min)
- Metadata Defined
- Metadata Purposes
- Metadata Dependencies
- Metadata Classification
- Metadata Kinds
- Metadata Management Processes
- Metadata and IT Projects
- Metadata and People
- Metadata Organizations
- Metadata Skills and Competencies
- Using Metadata
- Data Stewards Manage and Use Metadata
- Data Names and Definitions
- Data Structures and Data Models
- Data Profiles
- Data Quality
- Data Catalog
- Data Lineage
- Data Sensitivity
- Metadata Tools and Technologies
Data Modeling (24 min)
- Data Modeling Defined
- Data Modeling Purpose
- Data Modeling and People
- Kinds of Data Models
- Data Modeling Processes
- The “Things” in Data Models
- Entity-Relationship Modeling
- Supplemental Models and Additional E-R Concepts
- Dimensional Data Modeling
Data Profiling (47 min)
- What is Data Profiling?
- Myth and Reality of Data Profiling
- Profiling Techniques
- Profiling Challenges
- Role of Profiling
- People and Technology
Data Curation and Cataloging (31 min)
- Data Curation
- Why Data Curation?
- Data Cataloging
- Why Data Cataloging?
- Metadata and the Catalog
Metadata Management for BI and Data Science (49 min)
- The Metadata Muddle
- Data Science and Metadata
- Data Provenance and Data Lineage
- Ontology and Taxonomy
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 data modeling and metadata management.
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You will be tested in these areas:
- The importance of metadata as a key to understanding data
- Purposes and kinds of metadata
- Metadata management processes
- Data stewardship and metadata
- Data modeling basics including entity-relationship, dimensional, and big data modeling
- Data profiling techniques, challenges, and roles in data and metadata management
- The purpose and practices of data curation
- Metadata management using a data catalog
- Applications of metadata in business intelligence and data science
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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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