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 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.