In this lab, you learn how to connect Google Data Studio to Google BigQuery data tables, create charts, and explore the relationships between dimensions and measures.
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.
Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing data for analysis.
In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.
This hands-on lab will show you how to store and query data in Google Cloud Datastore using the Google Cloud Platform.
Google Genomics is at the forefront of organizing the world's genomic information. In this lab, you will use Google's implementation of htsget and SAM Tools—popular APIs in the big genome data field to analyze large files of genomic data. Watch the short video Google Genomics: Qwik Start - Qwiklabs Preview.
In this lab you'll learn how to use Stackdriver Profiler on GCP by downloading a sample Go program then exploring the captured data in the Profiler console.
In this lab, you use BigQuery to troubleshoot common SQL errors, query the data-to-insights public dataset, use the Query Validator, and troubleshoot syntax and logical SQL errors.