Launch Your Career in Data Engineering. Master designing and implementing data solutions that use Microsoft Azure data services

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Microsoft

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Programa de cursos integrados Microsoft Azure Data Engineering Associate DP-203 Exam PrepMicrosoft

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

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

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 Programa de cursos integrados

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This Specialization 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 (beta). This Specialization 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 (beta). Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

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

Como funciona o programa de cursos integrados

Fazer cursos

Um programa de cursos integrados do Coursera é uma série de cursos para ajudá-lo a dominar uma habilidade. Primeiramente, inscreva-se no programa de cursos integrados diretamente, ou avalie a lista de cursos e escolha por qual você gostaria de começar. Ao se inscrever em um curso que faz parte de um programa de cursos integrados, você é automaticamente inscrito em todo o programa de cursos integrados. É possível concluir apenas um curso — você pode pausar a sua aprendizagem ou cancelar a sua assinatura a qualquer momento. Visite o seu painel de aprendiz para controlar suas inscrições em cursos e progresso.

Projeto prático

Todos os programas de cursos integrados incluem um projeto prático. Você precisará completar com êxito o(s) projeto(s) para concluir o programa de cursos integrados e obter o seu certificado. Se o programa de cursos integrados incluir um curso separado para o projeto prático, você precisará completar todos os outros cursos antes de iniciá-lo.

Obtenha um certificado

Ao concluir todos os cursos e completar o projeto prático, você obterá um certificado que pode ser compartilhado com potenciais empregadores e com sua rede profissional.

Este Programa de cursos integrados contém 10 cursos

Curso1

Curso 1

Microsoft Azure for Data Engineering

4.5

estrelas

127 classificações

•

19 avaliações

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.

This course part of a Specialization 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 (beta). This is the first course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

Curso2

Curso 2

Data Storage in Microsoft Azure

4.6

estrelas

41 classificações

•

7 avaliações

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.

This course part of a Specialization 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 (beta). This is the second in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

Curso3

Curso 3

Data Integration with Microsoft Azure Data Factory

3.8

estrelas

34 classificações

•

13 avaliações

In this course, you will learn how to create and manage data pipelines in the cloud using Azure Data Factory.

This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services. It is ideal for anyone interested in preparing for the DP-203: Data Engineering on Microsoft Azure exam (beta). This is the third course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

Curso4

Curso 4

Introduction to Microsoft Azure Synapse Analytics

4.8

estrelas

11 classificações

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2 avaliações

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.

This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). This is the fourth course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

Instrutores

Microsoft

90.884 aprendizes

41 Cursos

oferecido por

Microsoft

Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.

In this next revolution of digital transformation, growth is being driven by technology. Our integrated cloud approach creates an unmatched platform for digital transformation. We address the real-world needs of customers by seamlessly integrating Microsoft 365, Dynamics 365, LinkedIn, GitHub, Microsoft Power Platform, and Azure to unlock business value for every organization—from large enterprises to family-run businesses. The backbone and foundation of this is Azure.

Perguntas Frequentes – FAQ

Qual é a política de reembolso?
Se você se inscrever, terá 7 dias para testar sem custo e, durante este período, pode cancelar sem multa. Depois disso, não reembolsamos, mas você pode cancelar sua inscrição a qualquer momento. Veja nossa política para o reembolso total.
Posso me inscrever em um único curso?
Sim! Para começar, clique na carta de curso que lhe interessa e se inscreva. Você pode se inscrever e concluir o curso para ganhar um certificado compartilhável ou você pode auditar para ver os materiais do curso de graça. Quando você se inscrever em um curso que faz parte de uma especialização, você está automaticamente inscrito para a especialização completa. Visite o seu painel de aluno para acompanhar o seu progresso.
Existe algum auxílio financeiro disponível?
Sim. Em programas de aprendizado selecionados, você pode solicitar auxílio financeiro ou uma bolsa de estudos caso não consiga pagar a taxa de inscrição. Se o auxílio financeiro ou bolsa de estudos estiver disponível para a seleção do seu programa de aprendizado, você encontrará um link para se inscrever na página de descrição.
Posso fazer o curso gratuitamente?
Quando se inscrever no curso, você terá acesso a todos os cursos na Especialização e ganhará um certificado quando concluir o trabalho. Se você só quiser ler e visualizar o conteúdo do curso, pode auditar o curso gratuitamente. Se não puder pagar a taxa, você pode solicitar ajuda financeira.
Este curso é realmente 100% on-line? Eu preciso assistir alguma aula pessoalmente?
Este curso é totalmente on-line, então não existe necessidade de aparecer em uma sala de aula pessoalmente. Você pode acessar suas palestras, leituras e atribuições a qualquer hora e qualquer lugar, via web ou dispositivo móvel.
Quanto tempo é necessário para concluir a Especialização?
It should take you approximately fifty weeks to complete this Specialization. You will be assigned approximately one to two hours worth of work to complete every week for the fifty weeks it takes to complete the ten courses.
What background knowledge is necessary?
A candidate for this certification should have 1-2 years professional development experience and experience with Microsoft Azure. In addition, they should have the ability to program in a language supported by Azure and be well versed in .Net and C#. They should be proficient in Azure SDKs, Azure PowerShell, Azure CLI, data storage options, data connections, APIs, app authentication and authorization, compute and container deployment, debugging, performance tuning, and monitoring.
Do I need to take the courses in a specific order?
Yes. We highly recommend taking the courses of each certificate program in the order they are presented. The content in the courses builds on information from earlier courses. The final course contains a practice exam that assesses your knowledge of the content covered in the previous courses. It makes the most sense to take them in the order they come in.
Vou ganhar créditos universitários por concluir a Especialização?
In short, no. Completing this Specialization will not earn you professional or academic credits. If you need to know whether a Coursera Certificate will count toward accreditation for a specific organization or program, please ask a representative of that organization or program.
What will I be able to do upon completing the Specialization?
When learners have completed this specialization, they will be able to: Develop Azure compute solutions Develop for Azure storage Implement Azure security Monitor, troubleshoot, and optimize Azure solutions Connect to and consume Azure services and third-party services

Mais dúvidas? Visite o Central de Ajuda ao estudante.