Preparación para el proceso de certificación Associate Cloud Engineer
Earned ene 25, 2024 EST
Aspectos básicos de Google Cloud: Infraestructura principal
Earned ene 24, 2024 EST
Delivery Shadowing
Earned ene 20, 2022 EST
Case Studies
Earned ene 18, 2022 EST
Technology + Beyond the UI
Earned ene 18, 2022 EST
Technology + Within the UI
Earned ene 17, 2022 EST
Table Calculations, Pivots, and Visualizations
Earned ene 14, 2022 EST
Building Reports in Looker
Earned ene 13, 2022 EST
Liquid Templates and Parameters
Earned ene 12, 2022 EST
Extends to Keep LookML DRY
Earned ene 11, 2022 EST
Admin Roles and Folder Access
Earned ene 10, 2022 EST
Version Control and Caching
Earned ene 10, 2022 EST
The Modern Data Platform and LookML
Earned ene 10, 2022 EST
Driving Data Culture and Designing Dashboards
Earned dic 30, 2021 EST
Achieving Business Outcomes with Looker
Earned dic 29, 2021 EST
Looker Explained
Earned dic 28, 2021 EST
Este curso te permite estructurar tu preparación para el examen de Associate Cloud Engineer. Aprenderás sobre los dominios de Google Cloud que se incluyen en el examen y la forma de crear un plan de estudio para saber más de ellos.
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Aspectos básicos de Google Cloud: Infraestructura principal presenta conceptos y terminología importantes para trabajar con Google Cloud. Mediante videos y labs prácticos, en este curso se presentan y comparan muchos de los servicios de procesamiento y almacenamiento de Google Cloud, junto con importantes recursos y herramientas de administración de políticas.
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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.
Preparación para el proceso de certificación Associate Cloud Engineer
Earned ene 25, 2024 EST
Aspectos básicos de Google Cloud: Infraestructura principal
Earned ene 24, 2024 EST
Delivery Shadowing
Earned ene 20, 2022 EST
Case Studies
Earned ene 18, 2022 EST
Technology + Beyond the UI
Earned ene 18, 2022 EST
Technology + Within the UI
Earned ene 17, 2022 EST
Table Calculations, Pivots, and Visualizations
Earned ene 14, 2022 EST
Building Reports in Looker
Earned ene 13, 2022 EST
Liquid Templates and Parameters
Earned ene 12, 2022 EST
Extends to Keep LookML DRY
Earned ene 11, 2022 EST
Admin Roles and Folder Access
Earned ene 10, 2022 EST
Version Control and Caching
Earned ene 10, 2022 EST
The Modern Data Platform and LookML
Earned ene 10, 2022 EST
Driving Data Culture and Designing Dashboards
Earned dic 30, 2021 EST
Achieving Business Outcomes with Looker
Earned dic 29, 2021 EST
Looker Explained
Earned dic 28, 2021 EST