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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 2. Chapter 2: Configuring Views and Models in a LookML Project FREE CHAPTER 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

Merging data from multiple Explores

Explores are usually designed and prepared by dedicated LookML developers in your team (usually data engineers) and contain data from one or more tables, with a defined relationship between these tables. It is advised to use a prepared Explore to analyze the data.

However, data analysts and other Looker Explorers might need to combine data from multiple Explores in cases that were not predicted by LookML developers, and in this scenario, merged results can help you. They allow you to combine results from different Explores (even from different models, projects, or even connections) for exploration and visualization.

This powerful technique can be used as a test for further LookML development. It can be used as a proof of concept for your future LookML projects and models.

Important note

Merged results, a post-query processing feature, can strain Looker instance resources and slow down response times for all users if not used judiciously...

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