Why Star Schema is Destined for Failure

17th June 2022, America 08:30 - 10:00 BST

Is there a better way to deal with the onslaught of data requests?

In today’s data-rich business climate, generating insights from data makes a company faster, leaner and better. One of the key trends in Business Intelligence (BI) is self-service analytics. According to Programming Insider, people increasingly aim to be less dependent on IT experts to pull insights from all the data piling up around the organization. Self-service enables users to analyze large amounts of data without relying on data analysts (and hours of time) to create reports for them.

So why are so many companies content to use a data model that all too often falls short? The current approach of using a star schema makes self-service analytics impossible: preparing data, managing hundreds of transformations with thousands of lines of SQL, building countless dashboards that stakeholders forget about, etc…

That’s why leading companies are looking for alternatives to the star schema, like the activity schema, a data model that requires no complicated joins or foreign keys. It’s a single 10-column table (with a single, standard structure) that can model any data for analytics and answer any question in minutes.

Join thought leaders from Narrator, along with a group of likeminded data executives, as we discuss strategies to drastically reduce the amount of time and resources it takes to answer data questions.

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Event host

Matt Star

Co-Founder and Chief Strategy Officer

Discussion topics


What are the limitations of a star schema?


How are you answering data questions today?


How long should a data request take to answer?

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