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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

Who Should Attend

  • Data architects, solution architects, integration architects, IT architects, enterprise architects, application architects
  • Data stewards, data curators, and other data governance and data quality professionals
  • Data engineers, software engineers, system engineers, solutions engineers
  • IT analysts, technical analysts, data analysts, systems analysts, requirements analysts
  • Database developers, DBAs, software developers, application developers, data warehouse developers, data integration developers
  • BI and data warehousing program managers, project managers, and directors

Hot Topics

  • Data modeling for big data
  • Modern data governance
  • Self-service challenges for data management and quality
  • Data privacy and protection
  • Data quality management
  • Data integration, data engineering, and data pipelines
  • Business information requirements
  • New technologies and techniques for managing data

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