Webinars

Analytics Engineering in Data Lakes with dbt

Within the past few years, a new persona has emerged on the modern data team: the analytics engineer. On platforms that seek to enable the intuitive workflows of data warehousing in the cloud data lake—powered by engines like Dremio, Spark and Presto—the analytics engineering toolset, including dbt, is a natural fit. By writing all transformation logic in SQL, critical business rules are accessible to the greatest number of people; by templating that SQL with Jinja, storing it in version control, wrapping it with automated tests and documentation, and persisting valuable metadata, the analytics workflow gains the rigor of software engineering principles.

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Data Lake Storage

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Whitepaper

2024 State of the Data Lakehouse

Benchmark your organization with Dremio's State of the Data Lakehouse Survey Report!

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Expert Panel Discussion – Data Integration Trends and Best Practices Webinar

TDWI senior research director James Kobielus will engage data industry experts in an in-depth discussion of data integration trends and best practices

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OctotronicDremio Smart Data Smart Factory 1

Webinars

Smart Data – Smart Factory with Octotronic and Dremio

Wie bringt ein Data Lake House die Smart Factory auf ein neues Level?

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