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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 analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab is part of a series of labs on processing scientific data.
In this lab, you will explore leveraging Cloud Error Reporting to understand the error reports of an application and application issues.
In this lab you will use Cloud Build to create a containerized "Hello, World!" application, store the container in Artifact Registry, and deploy the contianer to Cloud Run.
In this lab, you will learn how to utilize custome fields in Looker Explores queries.
This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.
Learn to create a conversational AI agent with Dialogflow CX, covering intents, flows, entities, conditions, fulfillment, and testing for effective bot development.
This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.
In this lab, you inspect strings and files for sensitive data and then practice using the Cloud Data Loss Prevention (DLP) API to protect data.
In this lab, you create two managed instance groups in the same region. Then, you configure an Internal Load Balancer with the instances groups as the backends.
In this lab we will explore the Cloud Dataprep UI to build an ecommerce transformation pipeline that will run at a scheduled interval and output results back into BigQuery.
Build and edit a Hello World Flutter application using a Code Server development enviornment.
Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.
In this lab, you will learn how to start a managed Spark/Hadoop cluster using Dataproc, submit a sample Spark job, and shut down your cluster using the Google Cloud Console.
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