TDWI Chicago

Data Management and Governance

Successful modern data infrastructure encompasses more than just storage and staging options. Organizations must take a holistic approach with key data management practices including data quality, governance, preparation, and integration that support and foster self-service practices and enable deeper insights across the enterprise.

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Masterclass List

• S3 Modern Data Warehouse Platforms and Architectures for the Cloud
  
• M1 Data Governance Bootcamp // TDWI Data Governance Principles and Practices: Managing Data as an Asset
  
• T4A Data Governance Processes: A Framework for Business SuccessNEW!
  
• T5A Is a Data Lakehouse in Your Future?
  
• T4P Master Data Management: The Intersection of Architecture, Governance, and ProcessNEW!
  
• T5P Active Metadata for Data Fabric: Delivering Data Quality, Observability, and Trust
  
• W1 Data Governance Bootcamp // TDWI Data Quality Management: Techniques for Data Profiling, Assessment, and Improvement
  
• W3 Becoming a Data-Driven Organization: How to Build a Growth-Driven Business Data StrategyNEW!
  
• TH1 TDWI Dimensional Data Modeling Primer: From Requirements to Business Analysis
  
• TH3 Machine Learning Bootcamp // Hands-On: Data Wrangling for Machine Learning with PythonNEW!
  
• F1 Advanced Dimensional Modeling: Complete Tour of Modern Best Practices