How to Choose: Data Lake, Lakehouse, or Mesh?

When it comes to data analytics infrastructure, there are a wealth of options for storing and querying information. New technological approaches allow for more flexibility in cloud data management and are democratizing data for use across the organization. By stripping away data engineering complexity and lowering total cost of infrastructure ownership and maintenance, more and more organizations are unlocking the value of analytics at scale.

Even so, new terminology and overlapping functionality within different cloud data platforms can make the landscape difficult to navigate. In this session, we’ll dive into the latest approaches to analytics at scale and demystify them, so you can determine which is right for your organization.

You’ll learn:

  • Key features, pros and cons associated with the data lake, lakehouse and mesh
  • Where and how these modern approaches can coexist
  • Questions you should ask to guide your organization’s data platform evaluation


  • Kevin Petrie, VP of Research, Eckerson Group
  • George Hamilton, Director of Product Marketing, ChaosSearch

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