Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing data for analysis.
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.
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.
Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab you will explore the Cloud Dataprep UI to build a data transformation pipeline.
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.
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.