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Analytics Database
architecture at a glance
Looker

server
Query

caching
Model

files
Looker

data
Looker Platform
Looker...
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Looker_Architecture_at_a_Glance

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Looker_Architecture_at_a_Glance

  1. 1. Analytics Database architecture at a glance Looker
 server Query
 caching Model
 files Looker
 data Looker Platform Looker App Machine requirements Linux
 Java
 Git
 Trusted certificates
 Outgoing ports:
 443, 587 HTTPS access layer 3rd party & custom apps Google docs
 Excel
 Looker API Connect to any analytics database
 Looker accesses live, real-time data on your underlying analytics database: MPP, in-memory, and columnar systems— anything that speaks SQL. Architected to be 100% in- database, Looker provides direct access to the entire dataset. Platform tools allow you to create and manage multiple connections from a single interface. Deep analytics and reduced SQL cycles
 Your data team can build models that capture their technical and analytic savvy so it can be put to use everywhere in your organization. Looker leverages LookML, an extensible modeling language that uses standard SQL for defining its elements to construct an analytical model—a set of views and fields that make sense for the business—based on your physical data model. Views can be as detailed as required. " The Looker data model can make data transformations on the fly, enabling end users to manipulate raw data at the point of analysis. And this transformation is completely transparent: Users can “view source”—just like in a web browser—to understand how data is being manipulated. looker.com 877 Cedar Street, #100 Santa Cruz, CA 95060 831.515.8584 © 2014 Looker Inc. All rights reserved. The entire Looker platform can be distributed on our infrastructure or yours—whether managed on premise or in the cloud. It’s packaged in a lightweight .jar file (like .zip for Java apps), so implementation is fast and requires very few resources.

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