Prerequisite: None
As organizations collect new data types to support modern analytics such as machine learning and NLP, they are modernizing their data architectures. This includes utilizing new platforms and paradigms such as cloud data warehouses, data lakes, data lakehouses, data fabrics, and data meshes. Although skills are required to manage these models, TDWI research indicates that organizational issues can make or break any modernization effort.
Join TDWI’s VP of Research, Fern Halper, as she discusses some new research on how companies are organizing to execute as part of their modernization effort. Halper will discuss:
- Trends in platforms and paradigms for data modernization
- New roles and teams to support modernization
- Centralized, decentralized, or hub-and-spoke models?
- Best practices for getting started