Paula Sobrados Risco
회원 가입일: 2022
브론즈 리그
1585포인트
Google Cloud Big Data and Machine Learning Fundamentals - 한국어
Earned 2월 10, 2023 EST
Looker에서 데이터 모델 관리하기
Earned 9월 14, 2022 EDT
Technology + Beyond the UI
Earned 9월 14, 2022 EDT
Driving Data Culture and Designing Dashboards
Earned 9월 14, 2022 EDT
Looker Explained
Earned 9월 14, 2022 EDT
Delivery Shadowing
Earned 9월 13, 2022 EDT
Case Studies
Earned 8월 29, 2022 EDT
Technology + Within the UI
Earned 8월 11, 2022 EDT
Table Calculations, Pivots, and Visualizations
Earned 8월 8, 2022 EDT
Building Reports in Looker
Earned 8월 8, 2022 EDT
Liquid Templates and Parameters
Earned 8월 8, 2022 EDT
Extends to Keep LookML DRY
Earned 8월 8, 2022 EDT
Admin Roles and Folder Access
Earned 8월 5, 2022 EDT
Version Control and Caching
Earned 8월 5, 2022 EDT
The Modern Data Platform and LookML
Earned 7월 29, 2022 EDT
Achieving Business Outcomes with Looker
Earned 6월 3, 2022 EDT
Looker에서 LookML 객체 빌드
Earned 5월 12, 2022 EDT
Looker 대시보드 및 보고서를 위해 데이터 준비하기
Earned 5월 10, 2022 EDT
Looker의 LookML 이해
Earned 5월 9, 2022 EDT
Developing Data Models with LookML
Earned 5월 6, 2022 EDT
Exploring and Preparing your Data with BigQuery
Earned 5월 3, 2022 EDT
Analyzing and Visualizing Data in Looker
Earned 4월 28, 2022 EDT
이 과정에서는 데이터-AI 수명 주기를 지원하는 Google Cloud 빅데이터 및 머신러닝 제품과 서비스를 소개합니다. Google Cloud에서 Vertex AI를 사용하여 빅데이터 파이프라인 및 머신러닝 모델을 빌드하는 프로세스, 문제점 및 이점을 살펴봅니다.
자세히 알아보기
중급 Looker에서 데이터 모델 관리하기 기술 배지 과정을 완료하여 다음 기술을 입증하세요. LookML 프로젝트 상태 유지하기, 데이터 검증을 위한 SQL Runner 활용하기, LookML 권장사항 적용하기, 성능을 위한 쿼리 및 보고 최적화하기, 영구 파생 테이블 및 캐싱 정책 구현하기
자세히 알아보기
In this course you will discover additional tools for your toolbox for working with complex deployments, building robust solutions, and delivering even more value.
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
In this course, you shadow a series of client meetings led by a Looker Professional Services Consultant.
자세히 알아보기
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.
자세히 알아보기
Develop technical skills beyond LookML along with basic administration for optimizing Looker instances
자세히 알아보기
This course reviews the processes for creating table calculations, pivots and visualizations
자세히 알아보기
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)
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
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
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
초급 Looker에서 LookML 객체 빌드 기술 배지 과정을 완료하여 새로운 측정기준 및 측정값, 뷰, 파생 테이블을 빌드하고, 요구사항에 따라 측정 필터 및 유형을 설정하고, 측정기준과 측정값을 업데이트하고, Explore를 빌드 및 미세 조정하고, 기존 Explore에 뷰를 조인하고, 비즈니스 요구사항에 따라 생성할 LookML 객체를 결정하는 기술 역량을 입증할 수 있습니다.
자세히 알아보기
초급 Looker 대시보드 및 보고서를 위해 데이터 준비하기 기술 배지 과정을 완료하면 데이터를 필터링, 정렬, 피벗팅하고, 다른 Looker Explore의 결과를 병합하고, 함수 및 연산자를 사용해 데이터 분석 및 시각화를 위한 Looker 대시보드 및 보고서를 빌드하는 기술 역량을 입증할 수 있습니다.
자세히 알아보기
이 과정에서는 Looker에서 LookML을 직접 사용해 봅니다. LookML 코드를 작성하여 새로운 측정기준과 측정을 만들고, 파생 테이블을 만들어 Explore에 조인하고, Explore를 필터링하고, LookML에서 캐싱 정책을 정의하는 방법을 배웁니다.
자세히 알아보기
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.
자세히 알아보기
In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.
This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.
자세히 알아보기
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.
자세히 알아보기
