Modernizing Data Lakes and Data Warehouses with Google Cloud
1.符合資格者將於出貨後三個工作日陸續發送交易訊息通知。2.點數將於廠商出貨後,隔天起算110天後陸續確認發送。3.國際商家之商品金額及回饋點數依據將以商品未稅價格為準。4.國際商家之商品金額可能受匯率影響而有微幅差異。5.禮品卡支付以及使用未授權優惠碼不符合贈點資格。6.點數發送依據及返點上限將以「訂單總金額」計算(不含運費及稅額),不論訂單中有多少商品,於LINE購物皆視為只購買一商品(金額為當筆訂單所有商品加總金額),亦即點數回饋計算並非以coursera實際購買商品數量拆分計算 。7. 同6說明,訂單完成後的顯示金額可能包含部分運費或稅金,可返點金額將以系統回傳金額為準 8.若於商家App下單,不符合LINE購物導購資格。商品描述
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.