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TDWI Chicago Conference

Modern Data Management

In order to succeed in transforming raw data into business value, organizations must take on an enterprisewide approach to data management. Providing data that is properly governed, cleansed, secure, and trustworthy lays the foundation that enables the entire organization to leverage the data for valuable insights. As data and the policies for protecting it continue to evolve, so must our techniques for managing it. From developing modern data governance initiatives to building consumer privacy-compliant practices to core modeling techniques for tackling both structured and unstructured data, the Modern Data Management track offers an array of courses to help you keep pace without derailing your existing architectures and practices.

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
  • 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 analytics – governance and architecture considerations
  • Data privacy and protection
  • Data quality

Session Highlights

Full Track Course Listing

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