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In this lab you will import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.
This hands-on lab shows you how to publish and consume messages with a pull subscriber, using the Google Cloud Platform Console. Watch the short video <A HREF="https://youtu.be/oKU2wbTXMTY">Simplify Event Driven Processing with Cloud Pub/Sub</A&…
This hands-on lab shows you how to publish and consume messages with a pull subscriber, using the Google Cloud command line. Watch the short video <A HREF="https://youtu.be/oKU2wbTXMTY">Simplify Event Driven Processing with Cloud Pub/Sub</A>.
In this lab you will use regular expressions to do parameter validation (e.g., on a PNR Number) and reset parameters to null when the user starts a new flow of conversation.
Mitigate some common vulnerabilities by using Google Cloud Armor WAF rules.
This challenge lab tests your skills and knowledge from the labs in the <b>Get Started with Eventarc<b> quest. You should be familiar with the content of labs before attempting this lab.
In this lab you will create a Flutter app with a TabView to isolate data. Add navigation to the application to move directly to a page.
Hands-on lab for migrating MySQL user metadata with Database Migration Service, including DEFINER-to-INVOKER updates and destination-user setup in Cloud SQL.
This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.
In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.
This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.
In this lab, you will merge results from different explores in Looker.
Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.
This challenge lab tests your skills and knowledge from the labs in the <b>Store, Process, and Manage Data on Google Cloud - Command Line<b> quest. You should be familiar with the content of labs before attempting this lab.
This hands-on lab shows you how to create and deploy a Cloud Function using the Cloud Platform Console. Watch the short video <A HREF="https://youtu.be/_nYXeEe-hqc">Connect & Extend GCP Services with Google Cloud Functions</A>.
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