Mariam Kumsiashvili
成为会员时间：2024
钻石联赛
45625 积分
从 BigQuery 数据中挖掘数据洞见
Earned Mar 6, 2025 EST
Google Cloud 数据分析功能简介
Earned Mar 6, 2025 EST
BigQuery for Data Analysts
Earned Mar 5, 2025 EST
Building Reports in Looker
Earned Aug 27, 2024 EDT
BI Reporting: Looker Visualization on BigQuery
Earned Aug 27, 2024 EDT
Admin Roles and Folder Access
Earned Aug 13, 2024 EDT
Technology + Beyond the UI
Earned Aug 13, 2024 EDT
Technology + Within the UI
Earned Aug 13, 2024 EDT
Liquid Templates and Parameters
Earned Aug 13, 2024 EDT
Delivery Shadowing
Earned Aug 13, 2024 EDT
Case Studies
Earned Aug 12, 2024 EDT
Table Calculations, Pivots, and Visualizations
Earned Aug 12, 2024 EDT
Extends to Keep LookML DRY
Earned Aug 9, 2024 EDT
Version Control and Caching
Earned Aug 9, 2024 EDT
The Modern Data Platform and LookML
Earned Aug 9, 2024 EDT
Driving Data Culture and Designing Dashboards
Earned Aug 8, 2024 EDT
Inside Track: Looker Multistage Development Framework
Earned Aug 7, 2024 EDT
Achieving Business Outcomes with Looker
Earned Jul 16, 2024 EDT
Data Warehousing for Partners: Analyze Data with Looker
Earned Jul 16, 2024 EDT
Visualize Your Data in Looker
Earned Jul 16, 2024 EDT
在 Looker 中管理数据模型
Earned Jul 15, 2024 EDT
Looker Explained
Earned Jul 15, 2024 EDT
在 Looker 中应用高级 LookML 概念
Earned Jul 15, 2024 EDT
Developing Data Models with LookML
Earned Jul 12, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Jul 10, 2024 EDT
了解 Looker 中的 LookML
Earned Jul 8, 2024 EDT
在 Looker 中构建 LookML 对象
Earned Jul 8, 2024 EDT
为 Looker 信息中心和报告准备数据
Earned Jul 8, 2024 EDT
Looker 使用入门
Earned Jun 26, 2024 EDT
完成入门级技能徽章课程“从 BigQuery 数据中挖掘数据洞见”，展示您在以下方面的技能： 编写 SQL 查询、查询公共表、将示例数据加载到 BigQuery 中、 在 BigQuery 中使用查询验证器排查常见的语法错误，以及通过连接到 BigQuery 数据在 Data Studio 中 创建报告。
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在本新手级课程中，您将了解 Google Cloud 数据分析工作流，以及可用于探索、分析和直观呈现数据并与相关人员共享发现结果的工具。结合案例研究、实操实验、讲座和测验/演示，本课程展示了如何将原始数据集转化为纯净数据，进而转化为实用的可视化图表和信息中心。无论您是已经在从事数据工作并想了解如何通过 Google Cloud 取得成功，还是在寻求职业发展，都可以借助本课程迈出第一步。几乎所有在工作中执行或使用数据分析的人都可以从本课程中受益。
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This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision making.
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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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This workload aims to upskill Google Cloud partners to perform specific tasks for modernization using LookML on BigQuery. A proof-of-concept will take learners through the process of creating LookML visualizations on BigQuery. During this course, learners will be guided specifically on how to write Looker modeling language, also known as LookML and create semantic data models, and learn how LookML constructs SQL queries against BigQuery. At a high level, this course will focus on basic LookML to create and access BigQuery objects, and optimize BigQuery objects with LookML.
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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 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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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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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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This course reviews the processes for creating table calculations, pivots and visualizations
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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 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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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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The goals at the end of this course are to be able to articulate to customers when and why they should use Looker’s multistage development framework and to share high-level ways to promote LookML code and content across multiple Looker instances.
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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 explores how to leverage Looker to create data experiences and gain insights with modern business intelligence (BI) and reporting.
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This skill badge course aims to unlock the power of data visualization and business intelligence reporting with Looker, and gain hands-on experience through labs.
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完成中级技能徽章课程在 Looker 中管理数据 模型，展示以下方面的技能：维护 LookML 项目的健康状况；利用 SQL Runner 进行数据验证；采用 LookML 最佳实践；优化查询和 报告；以及实现永久性派生表和缓存政策。
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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.
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在本课程中，您将获得在 Looker 中应用高级 LookML 概念 的实践经验。您将学习如何使用 Liquid 自定义和创建动态 维度和测量、创建动态 SQL 派生表和自定义原生 派生表，并运用扩展功能来模块化你的 LookML 代码
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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 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.
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在本课程中，您将通过实操练习掌握 Looker 中的 LookML。您将学习如何编写 LookML 代码来创建新的维度和度量、创建派生表并将其与“探索”联接、为“探索”设置过滤条件， 以及在 LookML 中定义缓存政策。
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完成在 Looker 中构建 LookML 对象入门技能徽章课程，展示以下方面的技能： 构建新的维度、测量、视图和派生表；根据需求设置测量的过滤条件和 类型；更新维度和测量； 构建并优化探索；将视图联接到现有探索；并根据业务需求 决定要创建哪些 LookML 对象。
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完成为 Looker 信息中心和报告准备数据入门级技能徽章课程， 展现您在以下方面的技能：对数据进行过滤、排序和透视；将来自不同 Looker 探索的结果合并； 以及使用函数和运算符构建 Looker 信息中心和报告以用于数据分析和可视化。
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完成 Looker 使用入门技能徽章课程，赢取技能徽章， 在这门课程中，您将学习如何使用 Looker Studio 和 Looker 分析、直观呈现和整理数据。
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