Data Infrastructure for Analytics

The era of multiplatform data architectures is here, and with it comes new implementation and data management challenges. From cloud services and modern data warehousing approaches to governance strategies that will support enterprisewide analytics initiatives, the data infrastructure of today must be fast, agile, and scalable. With data lakes, the logical data warehouse, data virtualization, and much more, the opportunities are real and the possible approaches numerous. Learn the top techniques and best practices for addressing your specific challenges and walk away with a strategy to enable success with analytics in your own modern data ecosystem.

Who Should Attend

  • Architects (system, integration, database, data warehouse, technology, etc.)
  • Database and data warehouse administrators and developers
  • IT strategists, IT analysts, IT managers
  • BI and data warehousing program managers, project managers, and directors
  • Data governance and data quality professionals

Hot Topics

  • Data lakes
  • Cloud
  • Logical data warehouse
  • Data governance
  • Self-service architectures

Session Highlights

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