The data and analytics landscape is rapidly evolving. At TDWI, we see more organizations using more platforms for managing data. This modern architecture is often a mix of data warehouses and lakes, both on-premises and in the cloud. Multi-cloud environments are also gaining popularity. As the data expansion continues, many organizations are struggling to build trusted data for analytics. Overcoming the challenge involves a combination of flexible and interoperable tooling as well as building an architecture that can accommodate change. Join a lively conversation between Fern Halper of TDWI and Joel McKelvey of Looker as they discuss what it takes to succeed in analytics in a constantly changing data landscape.
You will learn about:
- The evolving data and analytics landscape
- The imperative to reduce complexity
- Requirements for unification
