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How to Mitigate Analytics Risk and Complexity in a Rapidly Evolving Data Landscape

May 29, 2020

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
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