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.
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)