Introducción a Data Governance

• Data Governance. What, Why in the organization.
• Overview Data Governance Operating Model. Centralized, Federated and Hybrid.
• Overview Data Governance Components. Roles, Policies and Tools.
• Data Lifecycle Stages.
• Uses Cases for Data: Data Governance, Data Science, AI.

Data: Business and Technical aspects

• Data Lifecycle Stages.
• Uses cases for data. Data analytics, Data Science, AI.
• Types of Data.
• Types of Datastores: Transactional vs. Analytical.
• Types of Databases: SQL vs. No-SQL.
• Taller: Reconocimiento y exploración de una base de datos relacional y sus objetos con SQL Server.

Data Lineage

• Data Lineage. Definition, Why Data Lineage on Data Governance.
• Data Lineage Techniques. Patterns-based, By Tagging, Self-Contained, By Parsing.
• Data Lineage Types: Impact Analysis (One to Multi nodes), Root-Cause Analysis (Multi to one node).
• Taller: Diseño de un modelo Data Lineage de tipo Impact Analysis.
• Taller: Diseño de un modelo Data Lineage de tipo Root-Cause Analysis.

Data Quality Management

• Data Quality. Definition and dimensions (metrics).
• Measure and control of Data Quality. Techniques and tools.
• Taller: Estimación de métricas de calidad de datos con Excel para diversos datasets.

Master Data and Reference Data

• Definition.
• Modeling and designing.
• Techniques and tool for management.
• Taller: Implementación de los modelos de datos maestro y de referencia (SQLServer).

Metadata Management

• Data Catalog. Definition.
• Business Glossary. Importance, Components, Development and Maintenance.
• Data Dictionary.
• Taller: Elaboración de un Data Catalog y Data Dictionary.

Data Monetization

• Definition.
• Strategies for Data Monetization.
• Taller: Identificación del valor cualitativo y cuantitativo del dato.