This course aims to introduce you to the basic concepts of Git: what it is and how it's used in Looker. You will also develop an in-depth knowledge of the caching process on the Looker platform, such as why they are used and why they work
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This course provides an introduction to databases and summarized the differences in the main database technologies. This course will also introduce you to Looker and how Looker scales as a modern data platform. In the lessons, you will build and maintain standard Looker data models and establish the foundation necessary to learn Looker's more advanced features.
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完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程，即可證明您具備下列技能： 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Dataproc 建立叢集和執行 Apache Spark 工作，以及呼叫機器學習 API，包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。
In this course, you shadow a series of client meetings led by a Looker Professional Services Consultant.
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By the end of this course, you should feel confident employing technical concepts to fulfill business requirements and be familiar with common complex design patterns.
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In this course you will discover additional tools for your toolbox for working with complex deployments, building robust solutions, and delivering even more value.
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Develop technical skills beyond LookML along with basic administration for optimizing Looker instances
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This course reviews the processes for creating table calculations, pivots and visualizations
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This course is designed for Looker users who want to create their own ad-hoc reports. It assumes experience of everything covered in our Get Started with Looker course (logging in, finding Looks & dashboards, adjusting filters, and sending data)
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In this course you will discover Liquid, the templating language invented by Shopify and explore how it can be used in Looker to create dynamic links, content, formatting, and more.
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Hands on course covering the main uses of extends and the three primary LookML objects extends are used on as well as some advanced usage of extends.
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This course is designed to teach you about roles, permission sets and model sets. These are areas that are used together to manage what users can do and what they can see in Looker.
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In this course, we’ll show you how organizations are aligning their BI strategy to most effectively achieve business outcomes with Looker. We'll follow four iterative steps: Plan, Build, Launch, Grow, and provide resources to take into your own services delivery to build Looker with the goal of achieving business outcomes.
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This course provides an iterative approach to plan, build, launch, and grow a modern, scalable, mature analytics ecosystem and data culture in an organization that consistently achieves established business outcomes. Users will also learn how to design and build a useful, easy-to-use dashboard in Looker. It assumes experience with everything covered in our Getting Started with Looker and Building Reports in Looker courses.
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By the end of this course, you should be able to articulate Looker's value propositions and what makes it different from other analytics tools in the market. You should also be able to explain how Looker works, and explain the standard components of successful service delivery.
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.
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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.
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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.
運用 BigQuery ML 建立機器學習模型
Earned May 3, 2022 EDT
從 BigQuery 資料取得深入分析結果
Earned May 3, 2022 EDT
Version Control and Caching
Earned May 3, 2022 EDT
The Modern Data Platform and LookML
Earned May 3, 2022 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned May 3, 2022 EDT
Looker 資料模型管理
Earned May 2, 2022 EDT
Delivery Shadowing
Earned Apr 28, 2022 EDT
Case Studies
Earned Apr 28, 2022 EDT
Technology + Beyond the UI
Earned Apr 28, 2022 EDT
Technology + Within the UI
Earned Apr 28, 2022 EDT
Table Calculations, Pivots, and Visualizations
Earned Apr 28, 2022 EDT
Building Reports in Looker
Earned Apr 28, 2022 EDT
Liquid Templates and Parameters
Earned Apr 28, 2022 EDT
Extends to Keep LookML DRY
Earned Apr 27, 2022 EDT
Admin Roles and Folder Access
Earned Apr 27, 2022 EDT
Achieving Business Outcomes with Looker
Earned Apr 18, 2022 EDT
Driving Data Culture and Designing Dashboards
Earned Apr 17, 2022 EDT
Looker Explained
Earned Apr 16, 2022 EDT
在 Looker 建構 LookML 物件
Earned Jan 14, 2022 EST
在 Looker 應用進階 LookML 概念
Earned Jan 13, 2022 EST
Developing Data Models with LookML
Earned Jan 12, 2022 EST
Understanding LookML in Looker
Earned Jan 9, 2022 EST
Analyzing and Visualizing Data in Looker
Earned Jan 8, 2022 EST
為 Looker 資訊主頁和報表準備資料
Earned Jan 6, 2022 EST