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In this lab you will deploy an Apache Cassandraâ„¢ database using using the GCP marketplace. You will connect to the database using CQL Shell and run some simple DDL commands to create a table, load some data and query it.
This challenge lab tests your skills and knowledge from the labs in the Building Websites on Google Cloud Quest. You should be familiar with the content of these labs before attempting this lab.
This lab will demonstrate how to use the Regional Load Balancer GCP Terraform modules for setting up various load balancers.
In this lab you will learn how to leverage NetApp Cloud Volumes ONTAP remote caching for EDA workloads.
In this lab you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create a ML model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.
In this challenge lab you demonstrate your knowledge of AlloyDB that you learned from the Create and Manage AlloyDB Databases quest.
In this lab, you will configure Service Directory, configure a Service Directory DNS zone, and use Cloud Logging with Service Directory.
In this lab you’ll build an HTTP Cloud Function in Go.
Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.
In this hands-on lab, you will learn how to manage different types of tokens in Vault.
In this lab, you learn about Pub/Sub and how to create a topic and subscriber with a Python script, and then publish and view messages. Watch the short video <A HREF="https://youtu.be/oKU2wbTXMTY">Simplify Event Driven Processing with Cloud Pub/Sub…
Qwiklabs provides real Google Cloud environments that help developers and IT professionals learn cloud platforms and software, such as Firebase, Kubernetes and more.
In this lab you'll create a recurring Cloud Scheduler job that specifies a Pub/Sub topic as the job target.
In this lab you will explore features of the AlloyDB Columnar Engine.
In this lab you will build a time series model to forcast demand of multiple products using BigQuery ML. This lab is based on a blog post and featured in an episode of Cloud OnAir.
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