「BigQuery ML を使用した予測モデリング向けのデータ エンジニアリング」のスキルバッジを獲得できる中級コースを修了すると、 Dataprep by Trifacta を使用した BigQuery へのデータ変換パイプラインの構築、 Cloud Storage、Dataflow、BigQuery を使用した抽出、変換、読み込み（ETL）ワークフローの構築、 BigQuery ML を使用した ML モデルの構築に関するスキルを実証できます。
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「Google Cloud の ML API 用にデータを準備」コースの入門スキルバッジを獲得できるアクティビティを修了すると、 Dataprep by Trifacta を使用したデータのクリーニング、Dataflow でのデータ パイプラインの実行、Dataproc でのクラスタの作成と Apache Spark ジョブの実行、 Cloud Natural Language API、Google Cloud Speech-to-Text API、Video Intelligence API などの ML API の呼び出しに関するスキルを証明できます。
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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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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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.
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.
Professional Machine Learning Engineer 学習ガイド
Earned 12月 12, 2024 EST
BigQuery ML を使用した予測モデリング向けのデータ エンジニアリング
Earned 1月 22, 2023 EST
Google Cloud の ML API 用にデータを準備
Earned 1月 18, 2023 EST
Compute Engine での Cloud Load Balancing の実装
Earned 1月 9, 2023 EST
Looker でのデータモデルの管理
Earned 5月 3, 2022 EDT
Looker での LookML オブジェクトの構築
Earned 5月 2, 2022 EDT
Google Cloud の基礎
Earned 3月 17, 2022 EDT
Delivery Shadowing
Earned 3月 2, 2022 EST
Case Studies
Earned 2月 22, 2022 EST
Technology + Beyond the UI
Earned 1月 31, 2022 EST
Technology + Within the UI
Earned 1月 30, 2022 EST
Table Calculations, Pivots, and Visualizations
Earned 1月 20, 2022 EST
Building Reports in Looker
Earned 1月 20, 2022 EST
Liquid Templates and Parameters
Earned 1月 20, 2022 EST
Extends to Keep LookML DRY
Earned 1月 19, 2022 EST
Admin Roles and Folder Access
Earned 1月 19, 2022 EST
Version Control and Caching
Earned 1月 17, 2022 EST
The Modern Data Platform and LookML
Earned 1月 16, 2022 EST
Driving Data Culture and Designing Dashboards
Earned 1月 13, 2022 EST
Achieving Business Outcomes with Looker
Earned 1月 13, 2022 EST
Looker Explained
Earned 1月 12, 2022 EST
Looker での高度な LookML コンセプトの適用
Earned 1月 7, 2022 EST
Analyzing and Visualizing Data in Looker - 日本語版
Earned 12月 24, 2021 EST
Developing Data Models with LookML - 日本語版
Earned 12月 23, 2021 EST
Understanding LookML in Looker
Earned 12月 22, 2021 EST
Looker ダッシュボードとレポート用にデータを準備する
Earned 12月 21, 2021 EST