※注意事項:
1.需透過LINE購物前往並在同一瀏覽器於24小時內結帳才享有回饋,點數將於廠商出貨後,隔天起算之90個日曆天陸續確認發送。
2.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。
3.國際商家之商品金額可能受匯率影響而有微幅差異。
4.若於商家App下單,不符合LINE購物導購資格。商品描述
What you'll learnWelcome to this course, Learn DBT from Scratch. DBT lets you build a system of transformations on your data, with tests, scheduled runs, multiple environments, flexibility, and more all without needing a team of engineers to set up and manage your workflow. By the end of this course, you will have: set up DBT locally and on the cloudconnected DBT to Snowflake (or a data warehouse of your choice)create your own SQL transformations on datatest your transformationssnapshot your data to keep track of how your data changes over timelearn DBT best practicesIn this course, you'll be presented with the summarized information you need so that you can quickly get DBT implemented in your data pipeline (or in a brand new, data warehouse). Why you should learn DBTDBT is not one of the first technical skills most Data Scientists or Analysts think to learn. It's not as exciting as machine learning algorithms, and it's not as easy to show off as a fancy data visualization. But DBT is an absolutely fundamental skill for any Data Scientist or Analyst due to all of its capabilities. Because DBT is so flexible, there are almost an endless amount of ways you can integrate DBT into your data architecture. Some features that DBT provides you that all Data Scientists and Analysts should be using in their work include: Creating consistent aggregations for your analysis in a single locationConsistently testing your transformations and underlying dataRunning your data transformations on a scheduleTest your code in a DEV environmentAbout DBTDBT is pioneering modern analytics engineering. DBT applies the principles of software engineering to analytics code, an approach that dramatically increases your leverage as a data analyst. They believe that data analysts are the most valuable employees of modern, data-driven businesses and they build tools that empower analysts to own the entire analytics engineering workflow.