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Business Intelligence with Looker Cookbook

You're reading from   Business Intelligence with Looker Cookbook Create BI solutions and data applications to explore and share insights in real time

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781800560956
Length 256 pages
Edition 1st Edition
Tools
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Author (1):
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Khrystyna Grynko Khrystyna Grynko
Author Profile Icon Khrystyna Grynko
Khrystyna Grynko
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Getting Started with Looker FREE CHAPTER 2. Chapter 2: Configuring Views and Models in a LookML Project 3. Chapter 3: Working with Data in Explores 4. Chapter 4: Customizing and Serving Dashboards 5. Chapter 5: Making Dashboards Interactive through Dynamic Elements 6. Chapter 6: Troubleshooting Looker 7. Chapter 7: Integrating Looker with Other Applications 8. Chapter 8: Organizing the Looker Environment 9. Chapter 9: Administering and Monitoring Looker 10. Chapter 10: Preparing to Develop Looker Applications 11. Index 12. Other Books You May Enjoy

Creating dimensions in views

When you create your LookML project and choose Generate Model from Database Schema, Looker detects the views (tables) and the view fields (columns) automatically. It usually adds three parameters to every column: name (dimension:), data type (time, string, number, yes/no, tier, date, etc.), and SQL (by default, it references the table and the name of the column in this table); ${field_name} references a specific field within a LookML file. Sometimes, Looker adds a primary_key parameter, if it detects a field that can be potentially a primary key field; it is important for join operations (many to many, many to one, one to many, etc.). By default, Looker creates all the fields (columns) as dimensions (qualitative data) and adds some measures.

Our job is to enrich and complete this data by adding the parameters to our existing dimensions and measures, and by creating new dimensions and measures.

How do we know what is needed? It is something to do before...

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