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Mastering for Looker ML language for Data Engineer

Prem Vishnoi(cloudvala)
2 min readMay 19, 2024
Photo by Sergey Semin on Unsplash

Mastering Looker ML: A Guide for Beginners

Looker ML, also known as LookML, is the language used to define data models within Looker of google cloud .

It allows you to shape raw data from your databases eg (databricks other DB can be, trino , hive ) into a user-friendly format for exploration and analysis.

Here’s the steps where you can find how we can effectively manage and learn Looker ML:

Learning Looker ML:

  • Start with the Basics: Don’t be intimidated! While some SQL knowledge is helpful, Looker provides resources for beginners.
  • Looker’s learning environment, https://cloud.google.com/looker/docs/intro, offers interactive tutorials and code samples.
  • The free course, “Getting Started with LookML,” is a great introduction.
  • Focus on LookML Fundamentals:
  • Understand key concepts like explores, dimensions, measures, and filters.
  • Looker’s documentation provides a comprehensive guide: https://cloud.google.com/looker/docs/intro
  • Practice Makes Perfect: pratice ….
  • Experiment with the Looker learning environment’s code samples.

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Prem Vishnoi(cloudvala)
Prem Vishnoi(cloudvala)

Written by Prem Vishnoi(cloudvala)

Head of Data and ML experienced in designing, implementing, and managing large-scale data infrastructure. Skilled in ETL, data modeling, and cloud computing

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