TDWI Orlando

Modern Data Management

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, data preparation, and integration that support and foster self-service practices and enable deeper insights across the enterprise.

Course List

• S1 Data Governance Bootcamp // TDWI Data Quality Management: Techniques for Data Profiling, Assessment, and Improvement
  
• M1 Data Governance Bootcamp // TDWI Data Governance Principles and Practices: Managing Data as an Asset
  
• M5A Data Monetization: Creating New Data-Driven Value StreamsNEW!
  
• T2 Modern Data Warehouse Platforms and Architectures for the Cloud
  
• T4A Committee-Free DG: Streamlining Data Governance ProgramsNEW!
  
• T5A DataOps: Best Practices for Agile Data ManagementNEW!
  
• T4P An Operational Framework for Modern Data GovernanceNEW!
  
• W4 Modernizing Master Data Management to Effectively Support Business Processes
  
• W5A Is a Data Lakehouse in Your Future?
  
• W5P Active Metadata for Data Fabric: Delivering Data Quality, Observability, and TrustNEW!
  
• TH1 TDWI Data Modeling: Data Analysis and Design for BI and Analytics Solutions
  
• TH2 ML Bootcamp // Hands-On: Data Wrangling for Machine Learning with PythonNEW!
  
• F1 TDWI Dimensional Data Modeling Primer: From Requirements to Business Analysis
  
• F5 Building Your Company’s Data Governance Roadmap