Build Data Lakes and Data Warehouses on Google Cloud
Earned Sep 10, 2024 EDT
以串流方式將分析資料傳入 BigQuery
Earned Jul 26, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Jul 12, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Jul 12, 2024 EDT
從 BigQuery 資料取得深入分析結果
Earned Jul 11, 2024 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jun 27, 2024 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Jun 10, 2024 EDT
Data Lake Modernization on Google Cloud: Cloud Composer
Earned Jan 4, 2024 EST
While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
Build Data Lakes and Data Warehouses on Google Cloud
Earned Sep 10, 2024 EDT
以串流方式將分析資料傳入 BigQuery
Earned Jul 26, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Jul 12, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Jul 12, 2024 EDT
從 BigQuery 資料取得深入分析結果
Earned Jul 11, 2024 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jun 27, 2024 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Jun 10, 2024 EDT
Data Lake Modernization on Google Cloud: Cloud Composer
Earned Jan 4, 2024 EST