- Develop for Azure storage
- Develop Azure compute solutions
- Connect to and consume Azure services and third-party services
- Implement Azure security
- Monitor and troubleshoot Azure solutions
- Choose Microsft Azure data technologies that meet different business needs and scale to meet demand securely
- Describe common data engineering practices
- Explain the differences between on-premises and cloud data solutions
- Prepare for the Microsoft Certified: Azure Data Engineer Associate exam
- Design and implement data storage
- Design and implement data security
- Monitor and optimize data storage and data processing
Certificado Profissional Microsoft Azure Data Engineering Associate (DP-203)
Launch Your Career in Data Engineering. Master designing and implementing data solutions that use Microsoft Azure data services
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O que você vai aprender
You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.
You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for your data.
You will learn how to create and manage data pipelines in the cloud using Azure Data Factory and Azure Synapse Pipeline.
How to use Azure Synapse Analytics to build Data Warehouses using modern architecture patterns.
Habilidades que você terá
Earn 50% off your Microsoft Azure Data Fundamentals DP-203 Certification Exam
Learners who pass all courses will receive a voucher for 50% off the DP-203 Certification Exam.
Sobre este Certificado profissional
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This Professional Certificate is intended for data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure. This Professional Certificate will help you develop expertise in designing and implementing data solutions that use Microsoft Azure data services. You will learn how to integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. This program consists of 10 courses to help prepare you to take Exam DP-203: Data Engineering on Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Professional Certificate, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure.
Projeto de Aprendizagem Aplicada
Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They use the Microsoft Learn Sandbox. This is a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services.
For example, when you learn about integrating, transforming, and consolidating data; you will work in a temporary Azure environment called the Sandbox or directly in the Azure Portal. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace.
You will need a Microsoft account. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".
Certificados compartilháveis
Tenha o certificado após a conclusão
Cursos 100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Cronograma flexível
Definição e manutenção de prazos flexíveis.
Nível intermediário
Knowledge of data processing languages, such as SQL, Python, or Scala, and understanding parallel processing and data architecture patterns.
Aproximadamente 13 meses para ser concluído
Ritmo sugerido de 2 horas/semana
Inglês
Legendas: Inglês
Certificados compartilháveis
Tenha o certificado após a conclusão
Cursos 100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Cronograma flexível
Definição e manutenção de prazos flexíveis.
Nível intermediário
Knowledge of data processing languages, such as SQL, Python, or Scala, and understanding parallel processing and data architecture patterns.
Aproximadamente 13 meses para ser concluído
Ritmo sugerido de 2 horas/semana
Inglês
Legendas: Inglês
O que é um Certificado Profissional?
Adquira o conhecimento para garantir uma vaga
Não importa se quer começar uma nova carreira ou aperfeiçoar a atual: os Certificados Profissionais do Coursera ajudam você a ficar pronto para conseguir uma vaga. Aprenda no seu ritmo, quando e onde for melhor para você. Matricule-se já e descubra um novo plano de carreira com o teste grátis de 7 dias. Você pode parar o aprendizado por um tempo ou cancelar a inscrição quando quiser.
Projetos práticos
Use o conhecimento adquirido com projetos práticos e crie um portfólio que mostre que é o candidato ideal a possíveis empregadores. Você precisará concluir o(s) projeto(s) para receber o Certificado.
Obtenha uma credencial na carreira
Depois de concluir todos os cursos no programa, você receberá o certificado para compartilhar com sua rede profissional, bem como terá acesso a recursos de apoio à carreira para ajudá-lo a começar com o pé direito. Muitos Certificados Profissionais contam com parceiros de contratação que reconhecem as qualificações do Certificado Profissional, enquanto outros ajudam a preparar você para um exame de certificação. É possível obter mais informações sobre o que pode ser feito com um Certificado Profissional nas páginas específicas.
Este Certificado profissional contém 10 cursos
Microsoft Azure for Data Engineering
147 classificações
The world of data has evolved and the advent of cloud technologies is providing new opportunities for businesses to explore. In this course, you will learn the various data platform technologies available, and how a Data Engineer can take advantage of this technology to an organization's benefit.
Data Storage in Microsoft Azure
44 classificações
Azure provides a variety of ways to store data: unstructured, archival, relational, and more. In this course, you will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud.
Data Integration with Microsoft Azure Data Factory
40 classificações
In this course, you will learn how to create and manage data pipelines in the cloud using Azure Data Factory.
Introduction to Microsoft Azure Synapse Analytics
15 classificações
In this course, you will learn how Azure Synapse Analytics enables you to perform different types of analytics through its’ components that can be used to build Modern Data Warehouses through to advanced analytical solutions. You will learn how Azure Synapse Analytics solves the issue of having a single service to fulfill the broad range of analytics requirements that organizations face today and take a tour of the core application used to interact with the various components of Azure Synapse Analytics. You will learn the various components of Azure Synapse Analytics that enable you to build your analytical solutions in one place.
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Microsoft
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.
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