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Business Intelligence with Looker Cookbook

Business Intelligence with Looker Cookbook

By : Khrystyna Grynko
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Business Intelligence with Looker Cookbook

Business Intelligence with Looker Cookbook

5 (2)
By: Khrystyna Grynko

Overview of this book

Looker is a data analytics and business intelligence platform that allows organizations to explore, analyze, and visualize their data. It provides tools for data modeling, exploration, and visualization, enabling you to gain insights from your data to make informed business decisions. You’ll start with the basics, from setting up your Looker environments to configuring views and models using LookML. As you progress, you’ll delve into more advanced topics, such as navigating data in Explore, tailoring dashboards to your needs, and adding dynamic elements for interactivity. Along the way, you'll gain invaluable troubleshooting skills to tackle common issues and optimize your Looker usage, ensuring a smooth and seamless experience. Furthermore, the book extends your understanding beyond the basics, equipping you with the knowledge you need to develop Looker applications and seamlessly integrate them with other tools and applications. You'll also explore advanced techniques for harnessing Looker's full potential, empowering you to establish data-driven decision-making and innovation within your organization. By the end of this BI book, you'll have gained a solid understanding of how to use Looker to find important information, make tasks easier, and derive important insights.
Table of Contents (13 chapters)
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Adding advanced model parameters

In the model file created in your LookML project, there are some standard parameters added, such as the following:

  • connection: This parameter defines the database/data warehouse connection to be used for this model.
  • include: This defines what view files can be used in this model to build the Explores. In our case, we include all the views.
  • datagroup: This assigns a caching policy for Explores. Datagroup can also be used to regenerate PDTs.
  • persist_with: To use the datagroup caching policy as the default for Explores in a model, you can use the persist_with parameter at the model level, and specify the datagroup name.

In this section, we’ll review some advanced Model parameters and what they are used for.

How to do it…

Let’s add a few advanced Model parameters to our model:

  1. label: The label parameter changes the way that this model will appear in the Explore menu. Unless specified, the label...
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