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Nascimento Lucas

メンバー加入日: 2021

ゴールドリーグ

14005 ポイント
Building Reports in Looker Earned 7月 10, 2025 EDT
Technology + Beyond the UI Earned 7月 10, 2025 EDT
Case Studies Earned 7月 10, 2025 EDT
Technology + Within the UI Earned 7月 9, 2025 EDT
Table Calculations, Pivots, and Visualizations Earned 7月 9, 2025 EDT
Liquid Templates and Parameters Earned 7月 8, 2025 EDT
Extends to Keep LookML DRY Earned 7月 8, 2025 EDT
Looker Explained Earned 7月 8, 2025 EDT
Admin Roles and Folder Access Earned 7月 8, 2025 EDT
Version Control and Caching Earned 7月 8, 2025 EDT
The Modern Data Platform and LookML Earned 7月 8, 2025 EDT
Driving Data Culture and Designing Dashboards Earned 7月 8, 2025 EDT
Achieving Business Outcomes with Looker Earned 7月 8, 2025 EDT
生成 AI エージェント: 組織の変革 Earned 7月 1, 2025 EDT
生成 AI アプリ: 働き方を変革する Earned 7月 1, 2025 EDT
生成 AI: 現在の状況を知る Earned 7月 1, 2025 EDT
生成 AI: 基本概念の理解 Earned 7月 1, 2025 EDT
生成 AI: chatbot を超えて Earned 7月 1, 2025 EDT
Looker Services Knowledge Test Earned 6月 26, 2025 EDT
Develop Data Models with LookML in Looker Earned 6月 26, 2025 EDT
Administer Looker Environments Earned 6月 26, 2025 EDT
Manage Data Models in Looker Earned 8月 26, 2022 EDT
Build LookML Objects in Looker Earned 8月 26, 2022 EDT
Delivery Shadowing Earned 10月 4, 2021 EDT

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 additional tools for your toolbox for working with complex deployments, building robust solutions, and delivering even more value.

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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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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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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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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 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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「生成 AI エージェント: 組織の変革」は、生成 AI リーダー学習プログラムの最後となる 5 番目のコースです。このコースでは、組織でカスタム生成 AI エージェントを使用して特定のビジネス課題に対処する方法を学習します。基本的な生成 AI エージェントを構築する実践演習を行うとともに、モデル、推論ループ、ツールなどのエージェントの構成要素について見ていきます。

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「生成 AI アプリ: 働き方を変革する」は、生成 AI リーダー学習プログラムの 4 つ目のコースです。このコースでは、Gemini for Workspace や NotebookLM など、Google の生成 AI アプリケーションを紹介します。グラウンディング、検索拡張生成、効果的なプロンプトの作成、自動化されたワークフローの構築などのコンセプトについて学びます。

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「生成 AI: 現在の状況を知る」は、生成 AI リーダー学習プログラムの 3 つ目のコースです。生成 AI は、私たちの働き方や、私たちを取り巻く世界との関わり方を変えています。リーダーは、実際のビジネス成果に結びつけるために、生成 AI の力をどのように活用できるでしょうか？このコースでは、生成 AI ソリューションの構築におけるさまざまなレイヤ、Google Cloud のサービス、ソリューションを選択する際に考慮すべき要素について学びます。

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「生成 AI: 基本概念の理解」は、生成 AI リーダー学習プログラムの 2 つ目のコースです。このコースでは、AI、ML、生成 AI の違いを探り、さまざまなデータタイプが生成 AI によるビジネス課題への対処を可能にする仕組みを理解することで、生成 AI の基本概念を習得します。また、基盤モデルの限界に対処するための Google Cloud の戦略、および責任ある安全な AI の開発と導入における重要な課題に関するインサイトも得られます。

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「生成 AI: chatbot を超えて」は、生成 AI リーダー学習プログラムの最初のコースで、前提条件はありません。このコースは、chatbot の基礎的な理解をさらに広げ、組織で実現できる生成 AI の真の可能性を把握することを目的としています。基盤モデルおよびプロンプト エンジニアリングなど、生成 AI の力を活用するうえで重要な概念も紹介します。また、このコースでは、組織において優れた生成 AI 戦略を策定する場合に検討するべき重要事項も見ていきます。

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IMPORTANT NOTE: There are only 2 attempts allowed for the knowledge test. If you don't pass you have to wait 14 days before your second and final attempt. Preparation and study are essential. Looker Services Knowledge Test: This comprehensive test validates advanced proficiency in Looker administration and development. Candidates will demonstrate their ability to: Administer and Maintain Looker Instances: Provision and configure Looker Cloud Core, establish database connections, manage authentication and authorization, analyze performance, and integrate with Google Cloud services. Develop and Optimize LookML Models: Design and implement complex LookML models, create derived tables, optimize performance, utilize Looker Marketplace blocks, manage Git deployments, and troubleshoot LookML and SQL errors. This advanced certification requires existing badge holders to re-validate their skills on the updated LookML content. For learners familiar with Looker: If you're familiar with Looker t…

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This challenge lab tests your LookML expertise in Looker. Successfully complete it to earn a badge and demonstrate your ability to develop and manage LookML models. Before starting this challenge lab skill badge, please review the following: For learners new to Looker: Proficiency in SQL is a key prerequisite for this LookML lab. Course: Developing Data Models in LookML Course: Analyzing and Visualizing Data in Looker Or the learners can complete the below Learning paths on Looker: BI & Analytics with Looker Looker Business Intelligence

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This challenge lab is designed to test your expertise in administering Looker (Google Cloud core). By completing this lab, you will demonstrate your ability to perform key administrative tasks and earn a badge showcasing your Looker proficiency. Before starting this challenge lab skill badge, please review the following: For learners new to Looker: Course: Developing Data Models in LookML Course: Analyzing and Visualizing Data in Looker Or the learners can complete the below Learning paths on Looker: BI & Analytics with Looker Looker Business Intelligence

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Complete the intermediate Manage Data Models in Looker skill badge to demonstrate skills in the following: maintaining LookML project health; utilizing SQL runner for data validation; employing LookML best practices; optimizing queries and reports for performance; and implementing persistent derived tables and caching policies. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.

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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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