가입 로그인

Lucas Nascimento

회원 가입일: 2021

골드 리그

14005포인트
Building Reports in Looker Earned 7월 10, 2025 EDT
Technology + Beyond the UI Earned 7월 10, 2025 EDT
Case Studies Earned 7월 10, 2025 EDT
Technology + Within the UI Earned 7월 9, 2025 EDT
Table Calculations, Pivots, and Visualizations Earned 7월 9, 2025 EDT
Liquid Templates and Parameters Earned 7월 8, 2025 EDT
Extends to Keep LookML DRY Earned 7월 8, 2025 EDT
Looker Explained Earned 7월 8, 2025 EDT
Admin Roles and Folder Access Earned 7월 8, 2025 EDT
Version Control and Caching Earned 7월 8, 2025 EDT
The Modern Data Platform and LookML Earned 7월 8, 2025 EDT
Driving Data Culture and Designing Dashboards Earned 7월 8, 2025 EDT
Achieving Business Outcomes with Looker Earned 7월 8, 2025 EDT
생성형 AI 에이전트: 조직 혁신 Earned 7월 1, 2025 EDT
생성형 AI 앱: 업무 혁신 Earned 7월 1, 2025 EDT
생성형 AI: 환경 살펴보기 Earned 7월 1, 2025 EDT
생성형 AI: 기본 개념 이해 Earned 7월 1, 2025 EDT
생성형 AI: 챗봇 그 이상의 가치 Earned 7월 1, 2025 EDT
Looker Services Knowledge Test Earned 6월 26, 2025 EDT
Develop Data Models with LookML in Looker Earned 6월 26, 2025 EDT
Administer Looker Environments Earned 6월 26, 2025 EDT
Manage Data Models in Looker Earned 8월 26, 2022 EDT
Build LookML Objects in Looker Earned 8월 26, 2022 EDT
Delivery Shadowing Earned 10월 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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'생성형 AI 에이전트: 조직 혁신'은 생성형 AI 리더 학습 과정의 다섯 번째이자 마지막 과정입니다. 이 과정에서는 조직이 커스텀 생성형 AI 에이전트를 사용하여 어떻게 특정 비즈니스 과제를 해결할 수 있는지 살펴봅니다. 모델, 추론 루프, 도구와 같은 에이전트의 구성요소를 살펴보며 기본적인 생성형 AI 에이전트를 빌드하는 실무형 실습을 진행합니다.

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'생성형 AI 앱: 업무 혁신'은 생성형 AI 리더 학습 과정의 네 번째 과정입니다. 이 과정에서는 Workspace를 위한 Gemini, NotebookLM 등 Google의 생성형 AI 애플리케이션을 소개합니다. 그라운딩, 검색 증강 생성, 효과적인 프롬프트 작성, 자동화된 워크플로 구축 등의 개념을 안내합니다.

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'생성형 AI: 환경 살펴보기'는 생성형 AI 리더 학습 과정의 세 번째 과정입니다. 생성형 AI는 업무 방식을 비롯해 주변 세계와 상호작용하는 방식에 변화를 일으키고 있습니다. 리더로서 생성형 AI를 활용하여 실질적인 비즈니스 성과를 얻으려면 어떻게 해야 할까요? 이 과정에서는 생성형 AI 솔루션 빌드의 다양한 계층, Google Cloud 제품, 솔루션을 선택할 때 고려해야 할 요소를 살펴봅니다.

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'생성형 AI: 기본 개념 이해'는 생성형 AI 리더 학습 과정의 두 번째 과정입니다. 이 과정에서는 생성형 AI의 기본 개념을 이해하기 위해 AI, ML, 생성형 AI의 차이점을 살펴보고 다양한 데이터 유형에서 생성형 AI로 어떻게 비즈니스 과제를 해결할 수 있는지 알아봅니다. 파운데이션 모델의 제한사항과 책임감 있고 안전한 AI 개발 및 배포의 주요 과제를 해결할 수 있도록 Google Cloud 전략에 관한 인사이트도 제공합니다.

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'생성형 AI: 챗봇 그 이상의 가치'는 생성형 AI 리더 학습 과정의 첫 번째 과정이며 요구되는 기본 요건이 없습니다. 이 과정은 챗봇에 대한 기본적인 이해를 넘어 조직을 위한 생성형 AI의 진정한 잠재력을 살펴보는 것을 목표로 합니다. 생성형 AI의 강력한 기능을 활용하는 데 중요한 파운데이션 모델 및 프롬프트 엔지니어링과 같은 개념을 살펴봅니다. 또한 조직을 위한 성공적인 생성형 AI 전략을 개발할 때 고려해야 할 중요한 사항도 안내합니다.

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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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