Course : Getting Started with the Data Catalog for Effective Governance

Metadata: A Tool for Effective Data Governance

Practical course - 1d - 7h00 - Ref. IGD
Price : 850 CHF E.T.

Getting Started with the Data Catalog for Effective Governance

Metadata: A Tool for Effective Data Governance


New course

Data governance addresses complex challenges. To be effective, it must be equipped to provide relevant services to the various stakeholders. Its primary tool and driving force is the data catalog—or, more precisely, the metadata catalog. Metadata consists of all information—whether automatically generated or designed by architects, modelers, or data managers such as data owners—that provides details about the data… This catalog benefits from being highly automated and, where possible, enhanced by AI. Integrating it into your technical ecosystem is essential for automatically capturing metadata.


INTER
IN-HOUSE
CUSTOM

Practical course in person
Disponible en anglais, à la demande

Ref. IGD
  1d - 7h00
850 CHF E.T.




Data governance addresses complex challenges. To be effective, it must be equipped to provide relevant services to the various stakeholders. Its primary tool and driving force is the data catalog—or, more precisely, the metadata catalog. Metadata consists of all information—whether automatically generated or designed by architects, modelers, or data managers such as data owners—that provides details about the data… This catalog benefits from being highly automated and, where possible, enhanced by AI. Integrating it into your technical ecosystem is essential for automatically capturing metadata.


Teaching objectives
At the end of the training, the participant will be able to:
An Introduction to Metadata for Effective Governance (DAMA)
Understanding the Metadata Ecosystem in the Information System
Understanding the Tools for Understanding Cultural Heritage

Intended audience
Anyone interested in establishing data governance around an effective data catalog: Chief Data Officers (CDOs), Chief Information Officers (CIOs), data managers, data stewards, data owners, data scientists, IT and data architects, Chief Information Security Officers (CISOs), project managers/product owners, data platform managers, data engineers, Data Protection Officers (DPOs)…

Prerequisites
Have completed the course on data governance [line break].

Course schedule

1
Introduction: An Introduction to Metadata

  • Definition of data governance.
  • Role and Scope of Governance: Compliance, Quality, and Asset Knowledge.
  • A strong link between data governance and the data catalog.
  • Definition of metadata.
  • Here are a few examples of the data lifecycle.
  • Data diversity.
  • Metadata created to describe the data functionally.
  • Metadata created by systems and that can be collected.
  • Metadata Management: One or More Metadata Repositories?
Group discussion
Develop a map of data stakeholders and their roles in data governance. Understand the data assets. Model metadata to comply with security requirements and personal data regulations.

2
Understanding the Metadata Ecosystem in an Information System

  • Understanding data sources and their relationship to the architecture.
  • Knowledge of the datasets available on a data platform.
  • Identification of personal data—whether anonymized or not—on a data platform.
  • Technical and functional descriptions (business objects, processes, definitions) of the data on a data platform.
  • Understanding the availability and freshness of data on a data platform.
  • Understanding the characteristics of the platform's data quality.
  • Knowledge of the security features and data regulations on a platform.
Storyboarding workshops
Understanding a metadata model for the catalog.

3
Understanding the Tools for Understanding Cultural Heritage

  • The metadata catalog for discussing, sharing, and promoting data.
  • Data catalog and data models, data dictionary, glossary, thesaurus.
  • Structured and unstructured data in a catalog.
  • Features of a data catalog.
  • The needs of stakeholders and their great diversity.
  • Tribal knowledge.
  • Data catalog or data governance platform.
  • Overview of data catalog and governance platform tools.
  • Other metadata tools: data lineage, data observability, and data quality.
Case study
Present an evaluation rubric.

4
Conclusion

  • The data catalog: the first step in implementing data governance.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.


This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.