EncartaLabs

Developing Data Models with LookML

( Duration: 1 Day )

This Developing Data Models with LookML training course introduces the fundamentals of LookML and build and maintain LookML models to curate and manage data in your organization’s Looker instance.

By attending Developing Data Models with LookML workshop, delegates will learn to:

  • 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 speed up SQL queries

  • Basic understanding of SQL, Git, and the Looker business user experience.

The Developing Data Models with LookML class is ideal for:

  • Data developers who are responsible for data curation and management
  • Data analysts interested in learning how data developers use LookML to curate and manage data

COURSE AGENDA

1

Introduction to Looker and LookML

  • 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
2

Creating Dimensions and Measures

  • Create dimensions and measures to curate data attributes used by business users
3

Project Version Control

  • Implement version control with Git to manage and track changes in LookML projects
4

Model Files

  • 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 end users
5

Derived Tables

  • Define the two types of derived tables in Looker
  • Create ephemeral and persistent derived tables
  • List best practices for creating derived tables
6

Caching and Datagroups

  • Explain how Looker uses caching to speed up SQL queries
  • Use datagroups to manage caching policies in Looker

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 4,000 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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