Bring the power to connect, analyze, and visualize data across multicloud environments.

Looker for Google Cloud Platform allows anyone in your business to quickly analyze and find insights in your datasets. Looker makes it easy to build a data exploration platform that makes your data accessible in a meaningful, intuitive way for your entire organization.

Overview

This Google Cloud course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.

Now RM2,040 – get 15% off this practical LookML data modeling course. 

Skills Covered

  • Define LookML basic terms and building blocks
  • Use the Looker Integrated Development Environment (IDE) and project version control to modify LookML projects
  • Create dimensions and measures to curate data attributes used by business users
  • Create and design Explores to make data accessible to business users
  • Use derived tables to instantaneously create new tables
  • Use caching and datagroups in Looker to optimize SQL query performance

Prerequisites

  • To get the most out of this course, participants should have a basic understanding of SQL, Git, and the Looker business user experience. For learners with no previous experience as data explorers in Looker, it is recommended to first complete Analyzing and Visualizing Data in Looker course.

Target Audience

  • Data developers who are responsible for data curation and management within their organizations.
  • Data analysts interested in learning how data developers use LookML to curate and manage data in their organization’s Looker instance.

Course Curriculum

Module 1: Introduction to Looker and LookML
Objectives

  • Define Looker and the functionality it provides for curating data
  • Define LookML basic terms and building blocks
  • Use the Looker Integrated Development Environment (IDE) to modify LookML projects

Module 2: Creating Dimensions and Measures
Objectives

  • Create dimensions and measures to curate data attributes used by business users

Module 3: Project Version Control
Objectives

  • Implement version control with Git to manage and track changes in LookML projects
  • Send LookML changes from a development branch to production

Module 4: Model Files
Objectives

  • Explain how Looker utilizes SQL on the back end to translate user requests to query results
  • Create and design Explores to make data accessible to business users
  • Use joins to establish relationships between data tables
  • Leverage symmetric aggregation to ensure the accuracy of aggregated metrics
  • Implement filters to preselect data provided to business users

Module 5: Derived Tables
Objectives

  • Define the two types of derived tables in Looker
  • Create ephemeral and persistent derived tables
  • List best practices for creating derived tables

Module 6: Caching and Datagroups
Objectives

  • Explain how Looker uses caching to optimize SQL query performance
  • Use datagroups to manage caching policies in Looker

Dates & Locations

Let’s make it work for you

Can’t find a date that fits? Need to train your whole team? Looking for a discount?
Speak to one of our learning experts today.

There’s no intakes scheduled for this course at the moment!

For enquiries, please contact our reps.

Exam & Certification

This course is not associated with any Certification.

Training & Certification Guide

Why train with Trainocate

Speak to a Training Consultant

All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631

Preferred mode of training
Checkboxes