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Data Discovery: The Balance Created by Modern Data Modeling

 
Looker: Data Discovery
 
 
Data Discovery:
The Balance Created by
Modern Data Modeling
 
THURSDAY, SEPTEMBER 29 - 11:00AM PT / 2:00PM ET
 
 
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 novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility.

Some topics we will 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.
REGISTER NOW to view this LIVE Webinar.

Audio is streamed over the Internet, so turn up your computer speakers!
 
 

MODERATOR   PRESENTERS    
headshot image image
Stephen Faig
Business Development Manager
Unisphere Research and DBTA
Shohei Narron
Data Analyst
Looker
Anika Kuesters Smith
Data Analyst
Looker
 
 

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