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In this lab, you will learn how to utilize custome fields in Looker Explores queries.
Data Studio lets you create dynamic, visually compelling reports and dashboards. Watch the short video <A HREF="https://youtu.be/eSY6daAlk5k">Data Studio: Qwik Start - Qwiklabs Preview</A>.
In this lab, you will test your skills on managing data models in Looker. You will be expected to use best practices to maintain LookML project health and optimize queries and reports for performance.
Explore Google Cloud Billing reports to understand, analyze, and forecast cloud costs. Learn to identify cost drivers and trends using filters and visualization tools.
In this lab, you will learn how to improve the usability and sustainability of LookML projects.
Learn how to use Gmail to create, send, view, and reply to email. After completing the lab, use any extra time to explore Gmail features.
In this lab you will use Liquid parameters and templated filters to enhance interactivity by users in Looker.
In this lab, you will learn how caching works in Looker and explore how to use LookML objects called datagroups to define caching policies.
Use Google Sheets to create and edit a spreadsheet, then share the spreadsheet for easy collaboration. You can complete this lab in 10-15 minutes or use the extra time to explore Google Sheets features.
In this lab, you will use AppSheet to implement the UX components in your app.
This lab is based on Flutter development, learn more about this topic by taking the Flutter labs.
In this lab, you will harness the power of Looker Studio, where you will learn how to build billing graphs and charts so you can slice and dice your Google Cloud bill the way you want.
In this lab, you will test your skills to view, filter, and sort data in Looker. You will also be expected to save Looks, add them to a dashboard, add them to a board, and schedule regular delivery of data.
In this lab, you will test your skills in building LookML objects in Looker. You will be expected to create and use dimensions, measures, views, derived tables, filters, and datagroups.
This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.
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