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Syed Nomaan

회원 가입일: 2021

실버 리그

8700포인트
Preparing for Your Associate Cloud Engineer Journey Earned 1월 25, 2024 EST
Google Cloud 기초: 핵심 인프라 Earned 1월 24, 2024 EST
Delivery Shadowing Earned 1월 20, 2022 EST
Case Studies Earned 1월 18, 2022 EST
Technology + Beyond the UI Earned 1월 18, 2022 EST
Technology + Within the UI Earned 1월 17, 2022 EST
Table Calculations, Pivots, and Visualizations Earned 1월 14, 2022 EST
Building Reports in Looker Earned 1월 13, 2022 EST
Liquid Templates and Parameters Earned 1월 12, 2022 EST
Extends to Keep LookML DRY Earned 1월 11, 2022 EST
Admin Roles and Folder Access Earned 1월 10, 2022 EST
Version Control and Caching Earned 1월 10, 2022 EST
The Modern Data Platform and LookML Earned 1월 10, 2022 EST
Driving Data Culture and Designing Dashboards Earned 12월 30, 2021 EST
Achieving Business Outcomes with Looker Earned 12월 29, 2021 EST
Looker Explained Earned 12월 28, 2021 EST

This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.

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Google Cloud 기초: 핵심 인프라 과정은 Google Cloud 사용에 관한 중요한 개념 및 용어를 소개합니다. 이 과정에서는 동영상 및 실무형 실습을 통해 중요한 리소스 및 정책 관리 도구와 함께 Google Cloud의 다양한 컴퓨팅 및 스토리지 서비스를 살펴보고 비교합니다.

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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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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.

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