Webinar Data modeling in the Google Cloud Platform
- Past events, Events
- Business Analytics, GCP, Google Cloud, Google Cloud Platform
- 28.03.2024
- 2 mins read
What you can expect from this online event
"Now I have the data in the GCP (Google Cloud Platform), but what's the easiest way to structure it?"
"How do I get the most added value from my data?"
"How can I ensure that everyone in the company has access to consistent data that can be relied on?"
Such statements are made in many companies.
Find out how to model your data in the Google Cloud Platform (GCP) with dbt (data build tool), thereby creating added value and making it accessible to everyone in the company in our webinar on March 28, 2024.
These are the topics
- 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.
"Data modeling with dbt (data build tool) creates real added value for your data in the Google Cloud Platform!"
The webinar at a glance
- Thursday, March 28, 2024 from 08:30 a.m. to 09:15 a.m.
- Free participation
- Expert knowledge for our GCP expert Tobias Vogler
- Presentation and asking questions in German
- Making better decisions with data
Who should attend this webinar?
The webinar is of interest to anyone who deals with the topic of analytics in the company and who is particularly interested in the topic of data modeling. This is an excerpt of job titles from previous participants:
- CxO (e.g. CTO, CIO, CMO, CSO)
- Director:in/Head of X (e.g. Information Design, Business Analytics, BI, Data Science, Controlling, SAP CC, Finance, Data, Technology, IT, Engineering, Corporate Governance)
- Person responsible for a specialist area (e.g. data, analytics, warehousing, (online) marketing, communications)
- Employees from the field of data analytics
