Google Cloud Run Serverless Workshop
Earned Nov 17, 2022 EST
使用 BigQuery 進行機器學習
Earned Nov 17, 2022 EST
從 BigQuery 資料取得深入分析結果
Earned Nov 14, 2022 EST
DEPRECATED BigQuery Basics for Data Analysts
Earned Nov 14, 2022 EST
透過 Google Cloud 建構網站
Earned Nov 8, 2022 EST
基本概念：資料、機器學習和 AI
Earned Nov 7, 2022 EST
DevOps 必備知識
Earned Oct 28, 2022 EDT
Google Cloud 必備知識
Earned Oct 25, 2022 EDT
為 Looker 資訊主頁和報表準備資料
Earned Oct 24, 2022 EDT
使用資料庫遷移服務將 MySQL 資料遷移至 Cloud SQL
Earned Oct 23, 2022 EDT
Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google…
Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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完成透過 Google Cloud 建構網站技能徽章課程，即可獲得入門級技能徽章。 本課程以 Get Cooking in Cloud 系列影片為基礎， 涵蓋以下主題：在 Cloud Run 部署網站在 Compute Engine 託管網頁應用程式在 Google Kubernetes Engine 建立、 部署及擴充網站使用 Cloud Build 將單體式應用程式遷移至微服務架構
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大數據、機器學習和人工智慧 (AI) 是時下熱門的 電腦相關話題，但這些領域相當專業，就算想要入門 也難以取得教材或資料。幸好，Google Cloud 提供了此領域的多種服務，而且容易使用。 參加這堂入門課程，您就能踏出第一步， 開始學習運用 BigQuery、Cloud Speech API 以及 Video Intelligence 等工具。
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透過 DevOps 取得 競爭優勢。DevOps 作業涵蓋組織與文化層面，目標為加速推送軟體、 提高服務穩定性，並為所有軟體相關人員 建立共同擁有權。這堂課程說明如何使用 Google Cloud 提高軟體推送功能的速度、穩定性、可用性和安全性。 開發運作研究與評估計畫已新增至 Google Cloud。想知道自己的團隊表現如何嗎？完成 這個五道選擇題的測驗就能知道答案！
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在這堂入門課程，您將實際練習使用 Google Cloud 的基礎工具和服務。本課程包含可選擇觀賞的影片， 針對實驗室涵蓋的概念提供更多背景資訊，協助您複習。「Google Cloud 必備知識」 是適合 Google Cloud 學員的第一堂課， 即使您尚未學習或不熟悉雲端知識， 也能從這堂課獲得實務經驗，並應用於第一項 Google Cloud 專案。不管是撰寫 Cloud Shell 指令 和部署第一部虛擬機器，還是在 Kubernetes Engine 或透過負載平衡執行應用程式， 「Google Cloud 必備知識」都是認識平台基本功能的最佳入門資源。
Google Cloud Run Serverless Workshop
Earned Nov 17, 2022 EST
使用 BigQuery 進行機器學習
Earned Nov 17, 2022 EST
從 BigQuery 資料取得深入分析結果
Earned Nov 14, 2022 EST
DEPRECATED BigQuery Basics for Data Analysts
Earned Nov 14, 2022 EST
透過 Google Cloud 建構網站
Earned Nov 8, 2022 EST
基本概念：資料、機器學習和 AI
Earned Nov 7, 2022 EST
DevOps 必備知識
Earned Oct 28, 2022 EDT
Google Cloud 必備知識
Earned Oct 25, 2022 EDT
為 Looker 資訊主頁和報表準備資料
Earned Oct 24, 2022 EDT
使用資料庫遷移服務將 MySQL 資料遷移至 Cloud SQL
Earned Oct 23, 2022 EDT