TDWI Las Vegas

Modern Infrastructures & Data Management

According to recent TDWI research, almost half of organizations attempting to implement advanced analytics don’t have the infrastructure to support it. This track will help data management leaders develop effective strategies and best practices to modernize their data ecosystems to support the latest technologies and approaches. From DW modernization to designing new architectures, you’ll find a variety of courses to move you forward.

Session Highlights

• Modernizing Your Data Warehouse and Analytic Ecosystem – Stephen Brobst
• Databases: Understanding the New Technologies and What They‘re Good For – Mark Madsen
• The Logical Data Warehouse as Agile Data Foundation for Analytics and Data Science – Rick van der Lans
• Data Modeling in the Age of Big Data – Chris Adamson
• Data Architectures for Modern Analytics – Dave Wells

Full Track Course Listing

• S4 Data Modeling in the Age of Big DataUpdated
  
• S6 Data Management Best Practices for Advanced AnalyticsUpdated
  
• M3 Modernizing Your Data Warehouse and Analytic Ecosystem
  
• M5A TDWI Data Warehouse Automation: Better, Faster, Cheaper … You Can Have It All
  
• M5P TDWI Data Virtualization: Solving Complex Data Integration Challenges
  
• M6A Databases: Understanding the New Technologies and What They're Good For
  
• M6P Organizing the Data Lake: Designing an Architecture for Data & Analytics
  
• T2 Big Data Information Architecture: Building an Architecture for Insight with Hadoop
  
• T3A TDWI Data Governance Fundamentals: Managing Data as an Asset
  
• T3P TDWI Data Governance Innovations: Adapting for Agile, Big Data, and Cloud
  
• T4P Delivering Data Faster: Innovations in Integration Tools
  
• T5A Designing Modern Data Warehouse ArchitecturesNEW!
  
• T5P New Data Storage Technologies: From Hadoop to Graph Databases, and from NoSQL to NewSQLUpdated
  
• W1 The Logical Data Warehouse as Agile Data Foundation for Analytics, Data Science, and Data LakesUpdated
  
• W6A Managing Data for Modern Analytics: Rethinking Data Governance
  
• W6P Managing Data for Modern Analytics: Curating and Cataloging Data
  
• W8A Migrating to a Modern BI and Analytics Architecture - Guidelines for ChangeUpdated
  
• W8P Data Warehousing in the Age of Analytics & Big Data: Hadoop and the Data Warehouse
  
• TH2 TDWI Data Quality Management: Techniques for Data Profiling, Assessment, and Improvement
  
• TH3 Managing Data for Modern Analytics: Modernizing Data Architecture
  
• TH4 Beyond the Data Warehouse: Options for Data Gathering and Integration
  
• F2 TDWI Data Integration Principles and Practices: Creating Information Unity from Data DisparityUPDATED