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In this lab you will set up your Python development environment, get the Cloud Dataflow SDK for Python, and run an example pipeline using the Google Cloud Platform Console.
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 hands-on lab learn how to create log-based metrics and view the alerts in Cloud Monitoring
In this lab you will learn the basics of Dart. Understand how to work with variables, flow control and functions to start your journey with Dart.
In this lab, you will learn how to implement a full data protection strategy with NetApp Cloud Volumes ONTAP and Cloud Manager capabilities.
This challenge lab tests your skills and knowledge from the labs in the Kubernetes in Google Cloud quest. You should be familiar with the content of the labs before attempting this lab.
This challenge lab tests your skills and knowledge from the labs in the Build Google Cloud Infrastructure for AWS Professionals quest. You should be familiar with the content of the labs before attempting this lab.
In this lab you will learn how to use Dialogflow tools to troubleshoot your Virtual Agent.
In this lab, you will use Cloud Workstations to create a workstation configuration and launch a new workstation instance from that configuration.
Qwiklabs provides real Google Cloud environments that help developers and IT professionals learn cloud platforms and software, such as Firebase, Kubernetes and more.
This challenge lab tests the skills and knowledge gained from the labs in the Predict Soccer Match Outcomes with BigQuery ML skill badge quest.
In this lab you will create a simple Elasticsearch deployment leveraging Google Cloud Platform.
Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.
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.
In this lab you will learn the basic functionalities of Cloud Healthcare API using the Fast Healthcare Interoperability (FHIR) data model.
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