On-demand activities

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1211 条结果
  1. 实验 精选

    Secure BigLake Data: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Secure BigLake Data quest. You should be familiar with the content of labs before attempting this lab.

  2. 实验 精选

    Using gsutil to Perform Operations on Buckets and Objects

    In this lab you will use gsutil to create a bucket, then perform operations on objects inside the bucket.

  3. 实验 精选

    Identify different batch and streaming data sources

    Differentiate between batch and streaming data sources, formats, and frequency

  4. 实验 精选

    Optimizing Applications Using Cloud Profiler

    In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.

  5. 实验 精选

    APIs Explorer: Create and Update a Cluster

    In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.

  6. 实验 精选

    Connect an App to a Cloud SQL for PostgreSQL Instance

    In this lab, you create a Kubernetes cluster and deploy a simple application to that cluster. Then, you connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.

  7. 实验 精选

    Introduction to SQL for BigQuery and Cloud SQL

    在這個實驗室,您會瞭解基礎 SQL 子句,並在 BigQuery 和 Cloud SQL 實際練習執行結構化查詢。

  8. 实验 精选

    App Engine: 3 Ways: Challenge Lab

    This challenge lab tests your understanding of how to deploy a sample "hello world" application in the Google App Engine standard environment.

  9. 实验 精选

    Arcade Hero: Enter the BigQuery Table

    Arcade Hero: BigQuery Level Two

  10. 实验 精选

    在 Cloud Run 部署已整合 Gemini Pro 的 Streamlit 應用程式

    在本研究室中,您將瞭解如何在 Cloud Run 部署已整合 Gemini Pro 的 Streamlit 應用程式。