Data Discovery: The Balance Created by Modern Data Modeling

The focus of modern business intelligence has been self-service; pushing raw data into the hands of end users quickly with an accessible user interface so they can get their own answers fast. This has alleviated a major pain point — data have-nots created by complicated, IT- dominated solutions.

However, this new world of self-service BI brings with it it's own issue — data chaos. When everyone is looking at the data their own way, people find different answers to the same questions. To strike the balance, you need a solution that can offer both: governance without bottlenecks and self-service without chaos. Data modeling is a huge, valuable component of BI that has been largely neglected.

In this webinar, we will discuss Looker's modern approach to data modeling and how it powers a data exploration environment with depth and agility.  Some topics we cover:

- A new architecture beyond direct connect

- Language-based, git-integrated data modeling

- Abstractions that make SQL more powerful and more efficient

- Live demo of this solution on raw NYC Taxi data.

Previous Flipbook
Why Adopting a Data Model Will Make You Ready for the Runway
Why Adopting a Data Model Will Make You Ready for the Runway

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Data Modeling in Looker
Data Modeling in Looker

Quick iteration and reusability of metric calculations for powerful data exploration. At Looker, we want t...

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