Data Management 2022: Trends, Technologies, Teams, and Organizations

2022 is here and the data landscape is changing faster than ever before.

As the data mesh, self-service, and data citizens disrupt the current data landscape, the core functions of data engineering will remain critical.

Amid these fast-moving developments, companies will have to make key decisions in 2022 about the modern data stack, personnel, and so many other emergent possibilities.

This new 22-page guide lays out everything you need to stay ahead of the curve and optimize your data management processes for 2022.

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Read Data Management 2022: Trends, Technologies, Teams, and Organizations for insights into:

  • Reverse ETL
  • Data Governance
  • Data as a Product
  • Active Metadata
  • Data Mesh
  • The Modern Data Team (Personnel, Roles, Functions)
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