完成入门级技能徽章课程在 Google Cloud 上为机器学习 API 准备数据，展示以下技能： 使用 Dataprep by Trifacta 清理数据、在 Dataflow 中运行数据流水线、在 Dataproc 中创建集群和运行 Apache Spark 作业，以及调用机器学习 API，包括 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。
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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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 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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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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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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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.
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.
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。
在 Looker 中管理数据模型
Earned Oct 18, 2024 EDT
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Oct 17, 2024 EDT
使用 Dataplex 构建数据网格
Earned Oct 17, 2024 EDT
在 Looker 中构建 LookML 对象
Earned Oct 16, 2024 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Oct 16, 2024 EDT
使用 BigQuery 构建数据仓库
Earned Oct 15, 2024 EDT
Version Control and Caching
Earned Oct 15, 2024 EDT
The Modern Data Platform and LookML
Earned Oct 14, 2024 EDT
Driving Data Culture and Designing Dashboards
Earned Oct 14, 2024 EDT
Achieving Business Outcomes with Looker
Earned Oct 14, 2024 EDT
Visualize Your Data in Looker
Earned Jul 31, 2024 EDT
BI Reporting: Looker Visualization on BigQuery
Earned Jul 31, 2024 EDT
Looker Explained
Earned Jul 23, 2024 EDT
Developing Data Models with LookML
Earned Jul 23, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Jul 22, 2024 EDT
在 Looker 中应用高级 LookML 概念
Earned Jul 22, 2024 EDT
Understanding LookML in Looker
Earned Jul 22, 2024 EDT
为 Looker 信息中心和报告准备数据
Earned Jul 18, 2024 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Mar 26, 2024 EDT
Google Cloud 数据分析功能简介
Earned Mar 25, 2024 EDT