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Data modeling in the Google Cloud

Play Video about Cover Webinar Data Modeling in the GCP

Webinar content

The webinar will discuss how data can be efficiently modeled in the Google Cloud Platform (GCP) using the Data Build Tool (dbt) in order to achieve maximum added value for the company. 

The challenges addressed include structuring data in the GCP, maximizing data value and ensuring consistent and meaningful data access across the organization.

Data modeling with dbt in the GCP offers solutions to these challenges. Tobias Vogler, a GCP expert, explains in this webinar how dbt and the GCP can be used for this purpose.

Insights from the webinar:

  • How you can use dbt to model your data in the GCP
  • How you can increase the value of your data with dbt
  • How you can ensure consistent and meaningful data access in your company

Benefit from the advantages of data modeling with dbt:

  • More efficient data analysis
  • Improved decision-making
  • Higher ROI on your data investments

 

Agenda

  • Presentation of the use case: Introduction to a specific use case for data modeling in the GCP.
  • Explanation of terms / Buzz words: What is meant by the terms data mesh, data product and dbt?
  • Solution approach: Data modeling with dbt and outlining of the resulting data product in the GCP. 
  • Advantages of dbt: Why I should use dbt and what key features dbt offers.


Speaker

Profile photo Tobias Vogler
Tobias Vogler
Analytics Consultant

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