The introductory guide to data modeling
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Learn how to turn your raw data into easy-to-consume data sets
In this white paper, we’ll explore the basics of how data modeling works, why it matters and share a few data modeling examples. Plus highlight the top tools for building and implementing data models.
Download the white paper to learn:
- Why you need to define your business logic
- The differences between unopinionated and opinionated data
- How data models can help you democratize your data
“Data modeling is the process of using business logic to aggregate over event-level data to produce ‘modeled’ data that is simpler for querying.”
Yali Sassoon, CPO and Co-founder at Snowplow
More and more companies are investing in a data warehouse and/or data lake and starting to centralize their data. There are many benefits to this approach including more flexibility on how to analyse and interpret your data and more modularity, enabling you to get a complete picture of your users.
It also brings new challenges: lots of raw, event-level data from a plethora of sources and this is where data modeling comes in.
Download the white paper to discover the best data modeling approach for your organization.