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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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Data tests

Looker provides a couple of tools to ensure the accuracy and integrity of your data models and visualizations:

  • The LookML Validator checks for syntactic errors in your LookML code
  • The Content Validator verifies that object references within your content align with your data model

Data tests (the test parameter) enable you to validate the logic of your model, to perform unit testing before pushing new code into production, by creating queries and corresponding yes/no assertion statements. The data test executes the test query and verifies that the assertion holds true for each row of the query. If the assertion evaluates yes for every row, the data test is considered successful.

The test parameter has the following subparameters:

  • explore_source: Defines the query that provides the data for your test
  • assert: Sets the criteria your data must meet to pass the test

If your project settings mandate that data tests pass before deployment...

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Business Intelligence with Looker Cookbook
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