Video 🎥: Google BigQuery as an engine for B2B attribution and revenue analytics

Ever wondered how the Dreamdata product is made? 

Look no further. We will explain.

Ole Dallerup, Dreamdata CTO, was invited to the Google office in Copenhagen to put words on the Dreamdata product tech-stack and how we utilize Google BigQuery. 

Here’s some of the stuff Ole is touching upon:

• From Amazon Redshift to Google BigQuery

• How to avoid idle servers

• Open source ETL tools

• Pipeline of data to Google BigQuery

• Version control of data transformations

• Building data dependency graphs with Dataform

• Managing and testing complex data transformation

Catch the full presentation here:

You can also watch the video here: https://youtu.be/wJp2QmJZdDQ

Shout-outs:

Thanks a lot to Google BigQuery, Dataform, Segment, Stichdata + Singer.io and all the other tools who help making Dreamdata the product that it is.

Got a question?

Do you have a question about what technologies Dreamdata uses or how we apply them?

Write to us on the chat and we will be happy to elaborate further.

Want to dig deeper? We cover some of these topics in greater detail here:

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Why B2B companies should stop using Google Analytics as their data-compass for growth

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Time to Revenue: The One KPI You Should Strive to Really Know

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How does Dreamdata track all relevant on-site customer data?

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