michael stroud
成为会员时间:2022
黄金联赛
10030 积分
成为会员时间:2022
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
完成「為 Looker 資訊主頁和報表準備資料」技能徽章入門課程, 即可證明您具備下列技能:可篩選、排序和 pivot 資料、合併不同的 Looker 探索結果, 還能使用函式和運算子建構 Looker 資訊主頁和報表,取得資料分析結果和圖表。 技能徽章是 Google Cloud 核發的獨家數位徽章, 用於肯定您在 Google Cloud 產品和服務上的精熟技能,代表您已通過測驗, 能在互動式實作環境中應用相關知識。完成這個技能徽章課程 和結業評量挑戰實驗室,即可取得徽章 並與他人分享。
In this course, you will get hands-on experience applying advanced LookML concepts in Looker. You will learn how to use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and use extends to modularize your LookML code.
In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.