Como modernizar data lakes e data warehouses com o Google Cloud
Earned Mar 6, 2024 EST
BI Reporting: Looker Visualization on BigQuery
Earned Feb 14, 2024 EST
Building Codeless Pipelines on Cloud Data Fusion
Earned Feb 9, 2024 EST
Como implementar as noções básicas de segurança da nuvem no Google Cloud
Earned May 22, 2023 EDT
Security Best Practices in Google Cloud - Português Brasileiro
Earned May 10, 2023 EDT
Mitigating Security Vulnerabilities on Google Cloud - Português Brasileiro
Earned Feb 9, 2023 EST
Managing Security in Google Cloud - Português Brasileiro
Earned Feb 8, 2023 EST
Delivery Shadowing
Earned Sep 7, 2022 EDT
Technology + Beyond the UI
Earned Nov 29, 2021 EST
Technology + Within the UI
Earned Nov 16, 2021 EST
Table Calculations, Pivots, and Visualizations
Earned Nov 4, 2021 EDT
Building Reports in Looker
Earned Nov 2, 2021 EDT
Liquid Templates and Parameters
Earned Oct 27, 2021 EDT
Extends to Keep LookML DRY
Earned Oct 21, 2021 EDT
Admin Roles and Folder Access
Earned Oct 20, 2021 EDT
Version Control and Caching
Earned Oct 14, 2021 EDT
The Modern Data Platform and LookML
Earned Oct 6, 2021 EDT
Os dois principais componentes de um pipeline de dados são data lakes e warehouses. Neste curso, destacamos os casos de uso para cada tipo de armazenamento e as soluções de data lake e warehouse disponíveis no Google Cloud de forma detalhada e técnica. Além disso, também descrevemos o papel de um engenheiro de dados, os benefícios de um pipeline de dados funcional para operações comerciais e analisamos por que a engenharia de dados deve ser feita em um ambiente de nuvem.
Este é o primeiro curso da série "Engenharia de dados no Google Cloud". Após a conclusão, recomendamos que você comece o curso "Como criar pipelines de dados em lote no Google Cloud".
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This workload aims to upskill Google Cloud partners to perform specific tasks for modernization using LookML on BigQuery. A proof-of-concept will take learners through the process of creating LookML visualizations on BigQuery. During this course, learners will be guided specifically on how to write Looker modeling language, also known as LookML and create semantic data models, and learn how LookML constructs SQL queries against BigQuery. At a high level, this course will focus on basic LookML to create and access BigQuery objects, and optimize BigQuery objects with LookML.
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This quest offers hands-on practice with Cloud Data Fusion, a cloud-native, code-free, data integration platform. ETL Developers, Data Engineers and Analysts can greatly benefit from the pre-built transformations and connectors to build and deploy their pipelines without worrying about writing code. This Quest starts with a quickstart lab that familiarises learners with the Cloud Data Fusion UI. Learners then get to try running batch and realtime pipelines as well as using the built-in Wrangler plugin to perform some interesting transformations on data.
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Conclua o curso intermediário para obter o selo de habilidade Como implementar as noções básicas de segurança da nuvem no Google Cloud para mostrar que você sabe: criar e atribuir papéis com o Identity and Access Management (IAM); criar e gerenciar contas de serviço; ativar a conectividade particular entre redes de nuvem privada virtual (VPC); restringir o acesso ao aplicativo usando o Identity-Aware Proxy; gerenciar chaves e dados criptografados usando o Cloud Key Management Service (KMS) e criar um cluster particular do Kubernetes.
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Este curso de treinamento autoguiado oferece aos participantes um amplo estudo sobre controles e técnicas de segurança no Google Cloud. Com palestras gravadas, demonstrações e laboratórios práticos, participantes podem conhecer e implantar os componentes de uma solução segura do Google Cloud, incluindo tecnologias de controle de acesso do Cloud Storage, chaves de segurança, Chaves de criptografia fornecidas pelo cliente, controles de acesso a APIs, definição de escopo, VM protegidas, criptografia e URLs assinados. O curso também aborda como proteger os ambientes do Kubernetes.
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Neste curso de treinamento autoguiado, os participantes aprendem como mitigar ataques em diversos pontos em uma infraestrutura baseada no Google Cloud, incluindo ataques distribuídos de negação de serviço, ataques de phishing e ameaças que envolvem uso e classificador de conteúdo. Também ensinamos sobre o Security Command Center, o Cloud Logging e a geração de registros de auditoria, além de como usar o Forseti para acessar a conformidade geral das políticas de segurança da sua organização.
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Este curso de treinamento autoguiado oferece aos participantes um amplo estudo sobre controles e técnicas de segurança no Google Cloud. Com palestras gravadas, demonstrações e laboratórios práticos, os participantes podem conhecer e implantar os componentes de uma solução segura do Google Cloud, incluindo o Cloud Identity, o Resource Manager, o Cloud IAM, os firewalls de nuvem privada virtual, o Cloud Load Balancing, peering do Cloud, o Cloud Interconnect e o VPC Service Controls.
Este é o primeiro curso da série Security in Google Cloud. Quando completar este curso, inscreva-se no Security Best Practices in Google Cloud.
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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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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.
Como modernizar data lakes e data warehouses com o Google Cloud
Earned Mar 6, 2024 EST
BI Reporting: Looker Visualization on BigQuery
Earned Feb 14, 2024 EST
Building Codeless Pipelines on Cloud Data Fusion
Earned Feb 9, 2024 EST
Como implementar as noções básicas de segurança da nuvem no Google Cloud
Earned May 22, 2023 EDT
Security Best Practices in Google Cloud - Português Brasileiro
Earned May 10, 2023 EDT
Mitigating Security Vulnerabilities on Google Cloud - Português Brasileiro
Earned Feb 9, 2023 EST
Managing Security in Google Cloud - Português Brasileiro
Earned Feb 8, 2023 EST
Delivery Shadowing
Earned Sep 7, 2022 EDT
Technology + Beyond the UI
Earned Nov 29, 2021 EST
Technology + Within the UI
Earned Nov 16, 2021 EST
Table Calculations, Pivots, and Visualizations
Earned Nov 4, 2021 EDT
Building Reports in Looker
Earned Nov 2, 2021 EDT
Liquid Templates and Parameters
Earned Oct 27, 2021 EDT
Extends to Keep LookML DRY
Earned Oct 21, 2021 EDT
Admin Roles and Folder Access
Earned Oct 20, 2021 EDT
Version Control and Caching
Earned Oct 14, 2021 EDT
The Modern Data Platform and LookML
Earned Oct 6, 2021 EDT