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Google Cloud Training
Este curso ajuda estudantes a criar um plano de estudo para o exame de certificação PDE (Professional Data Engineer). É possível conferir a amplitude e o escopo dos domínios abordados no exame. Os estudantes também podem acompanhar os preparativos para o exame e criar planos de estudos individuais.
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What's inside
Syllabus
Introdução à certificação Professional Data Engineer (PDE)
Este é o preparatório para a jornada da certificação Professional Cloud Data Engineer. Neste módulo introdutório, você vai conhecer o papel de um engenheiro de dados profissional. Nele, abordaremos os tipos de recursos disponíveis para apoiar seus estudos e as formas de usar a apostila para você criar seu próprio plano de estudos.
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Syllabus
Introdução à certificação Professional Data Engineer (PDE)
Este é o preparatório para a jornada da certificação Professional Cloud Data Engineer. Neste módulo introdutório, você vai conhecer o papel de um engenheiro de dados profissional. Nele, abordaremos os tipos de recursos disponíveis para apoiar seus estudos e as formas de usar a apostila para você criar seu próprio plano de estudos.
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Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Especialistas do setor do Google Cloud atuam como instrutores do curso
Esse treinamento é uma preparação para a jornada de certificação Professional Cloud Data Engineer
O curso alinha-se a um exame real, o que pode ser útil para quem busca uma certificação
O curso oferece recursos adicionais para apoiar os estudos dos alunos
O curso ensina métodos de desenvolvimento que atendem à seção 1 do Guia do exame para a certificação Professional Data Engineer
O curso ensina métodos de processamento de dados que atendem à seção 2 do Guia do exame para a certificação Professional Data Engineer
O curso ensina métodos de armazenamento de dados que atendem à seção 3 do Guia do exame para a certificação Professional Data Engineer
O curso ensina métodos de preparação e uso de dados para análises que atendem à seção 4 do Guia do exame para a certificação Professional Data Engineer
O curso ensina métodos de manutenção e automação de cargas de trabalho de dados que atendem à seção 5 do Guia do exame para a certificação Professional Data Engineer
O curso fornece uma abordagem prática por meio de questões de diagnóstico e revisões
O curso ajuda os alunos a criarem um plano de estudos personalizado, alinhado às suas necessidades individuais
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Reviews summary
Guia essencial para a certificação pde
De acordo com os alunos, este curso é um guia essencial e bem estruturado para quem busca a certificação Professional Data Engineer do Google Cloud. É elogiado por sua capacidade de ajudar a criar planos de estudo personalizados através de questões diagnósticas que identificam lacunas de conhecimento. Muitos consideram que oferece uma visão clara do escopo do exame e dos domínios exigidos. No entanto, é importante notar que este curso é primariamente um preparatório para o exame e não um ensino aprofundado dos tópicos, exigindo estudo complementar para domínio técnico.
Conteúdo oficial e relevante para o exame.
"A credibilidade do conteúdo é alta por ser oficial do Google Cloud, o que me deixou mais seguro para o exame."
"É um recurso confiável diretamente da fonte, essencial para quem busca a certificação deles."
"O material é atualizado e reflete bem o que é esperado na prova."
Questionários práticos que identificam lacunas.
"As questões de diagnóstico em cada módulo foram um diferencial; elas realmente apontam onde preciso focar mais."
"Gostei muito dos testes no final de cada seção para ver onde minhas habilidades precisavam de aprimoramento."
"Permitiu-me focar meu estudo nas áreas que realmente importavam, sem perder tempo no que já sabia."
Bem organizado para a preparação da certificação.
"Achei a forma como o curso se estrutura em torno dos domínios do exame PDE extremamente útil para minha preparação."
"O curso me deu um roteiro claro sobre o que estudar para a certificação, algo que eu realmente precisava."
"Sinto que ele cumpre o papel de ser um preparatório, guiando-me pelos tópicos da prova."
Melhor para direcionamento do que ensino base.
"Se você é iniciante em engenharia de dados, este curso pode ser um pouco denso sem um conhecimento prévio."
"Senti que o curso é melhor para quem já tem alguma base e precisa organizar os estudos para a certificação."
"Não é para aprender do zero, mas para otimizar a rota de estudo para o exame PDE."
Não é curso completo; aponta para recursos externos.
"É crucial entender que este curso é um guia de estudo, não um curso de ensino técnico profundo; você precisará de outros materiais."
"Não espere que ele ensine cada conceito do zero, mas ele aponta o caminho para onde buscar o conhecimento."
"Achei que eu precisava complementar com muita leitura e laboratórios de fora para realmente dominar os tópicos."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Preparing for Professional Data Engineer Journey - Português with these
activities:
Revise data processing techniques
Show steps
Revise basic data processing techniques to strengthen your foundation before starting the course.
Browse courses on
Data Processing
Show steps
-
Review data collection, cleaning, and transformation techniques.
-
Practice using common data processing tools and techniques.
-
Complete practice problems or exercises focused on data processing.
Follow tutorials on data engineering
Show steps
Enhance your understanding of data engineering concepts by following online tutorials.
Browse courses on
Data Engineering
Show steps
-
Identify reputable online platforms or resources offering data engineering tutorials.
-
Select tutorials that align with your current knowledge level and the course objectives.
-
Work through the tutorials, taking notes and completing any exercises or assignments.
-
Document any challenges or areas where you need further clarification.
Engage in discussion forums
Show steps
Connect with peers and exchange knowledge by participating in discussion forums.
Show steps
-
Join online discussion forums or communities related to data engineering.
-
Actively participate in discussions by asking questions, sharing your insights, and responding to others.
-
Seek support and guidance from peers when needed.
-
Respect and acknowledge the contributions of others in the discussion.
Two other activities
Expand to see all activities and additional details
Show all five activities
Create a personalized study plan
Show steps
Develop a tailored study plan to optimize your learning journey.
Show steps
-
Review the course syllabus and identify key topics and objectives.
-
Assess your current knowledge level and identify areas where you need to focus.
-
Allocate time for studying, practicing, and completing assignments.
-
Set realistic goals and track your progress over time.
Mentor junior data engineers
Show steps
Solidify your understanding of data engineering concepts by mentoring others.
Show steps
-
Identify opportunities to mentor junior data engineers or students interested in data engineering.
-
Share your knowledge and expertise by providing guidance, support, and resources.
-
Encourage your mentees to ask questions and challenge their assumptions.
-
Provide constructive feedback and help your mentees develop their skills.
Revise data processing techniques
Show steps
Revise basic data processing techniques to strengthen your foundation before starting the course.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Review data collection, cleaning, and transformation techniques.
- Practice using common data processing tools and techniques.
- Complete practice problems or exercises focused on data processing.
Follow tutorials on data engineering
Show steps
Enhance your understanding of data engineering concepts by following online tutorials.
Browse courses on
Data Engineering
Show steps
Show steps
Show steps
- Identify reputable online platforms or resources offering data engineering tutorials.
- Select tutorials that align with your current knowledge level and the course objectives.
- Work through the tutorials, taking notes and completing any exercises or assignments.
- Document any challenges or areas where you need further clarification.
Engage in discussion forums
Show steps
Connect with peers and exchange knowledge by participating in discussion forums.
Show steps
Show steps
Show steps
- Join online discussion forums or communities related to data engineering.
- Actively participate in discussions by asking questions, sharing your insights, and responding to others.
- Seek support and guidance from peers when needed.
- Respect and acknowledge the contributions of others in the discussion.
Two other activities
Expand to see all activities and additional details
Show all five activities
Create a personalized study plan
Show steps
Develop a tailored study plan to optimize your learning journey.
Show steps
Show steps
Show steps
- Review the course syllabus and identify key topics and objectives.
- Assess your current knowledge level and identify areas where you need to focus.
- Allocate time for studying, practicing, and completing assignments.
- Set realistic goals and track your progress over time.
Mentor junior data engineers
Show steps
Solidify your understanding of data engineering concepts by mentoring others.
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior data engineers or students interested in data engineering.
- Share your knowledge and expertise by providing guidance, support, and resources.
- Encourage your mentees to ask questions and challenge their assumptions.
- Provide constructive feedback and help your mentees develop their skills.
Career center
Learners who complete Preparing for Professional Data Engineer Journey - Português will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers design, build, and manage data pipelines that allow organizations to store, process, and analyze data efficiently. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a comprehensive understanding of the data engineering process, from data ingestion and storage to data analysis and visualization. The course also covers the latest tools and technologies used by Data Engineers, such as Apache Hadoop, Apache Spark, and Google Cloud Platform.
Data Architect
Data Architect
Data Architects design and manage data systems that meet the needs of an organization. They work with stakeholders to understand data requirements and develop solutions that are scalable, reliable, and secure. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a deep understanding of data architecture principles and best practices. The course also covers the latest tools and technologies used by Data Architects, such as Apache Hadoop, Apache Spark, and Google Cloud Platform.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They work with data to identify trends, build models, and make predictions. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a strong foundation in data science concepts and techniques. The course also covers the latest tools and technologies used by Data Scientists, such as Apache Hadoop, Apache Spark, and Google Cloud Platform.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. They work with data scientists to identify the right machine learning algorithms and develop models that are accurate and efficient. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a strong foundation in machine learning concepts and techniques. The course also covers the latest tools and technologies used by Machine Learning Engineers, such as Apache Hadoop, Apache Spark, and Google Cloud Platform.
Data Analyst
Data Analyst
Data Analysts analyze data to identify trends and patterns. They work with stakeholders to communicate insights and make recommendations. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a strong foundation in data analysis concepts and techniques. The course also covers the latest tools and technologies used by Data Analysts, such as Apache Hadoop, Apache Spark, and Google Cloud Platform.
Database Administrator
Database Administrator
Database Administrators design, implement, and maintain databases. They work with data engineers and data architects to ensure that databases are scalable, reliable, and secure. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a deep understanding of database principles and best practices. The course also covers the latest tools and technologies used by Database Administrators, such as MySQL, PostgreSQL, and Oracle Database.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software applications. They work with stakeholders to understand requirements and develop solutions that are scalable, reliable, and secure. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a strong foundation in software engineering principles and best practices. The course also covers the latest tools and technologies used by Software Engineers, such as Java, Python, and C++.
Systems Engineer
Systems Engineer
Systems Engineers design, implement, and maintain computer systems. They work with stakeholders to understand requirements and develop solutions that are scalable, reliable, and secure. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a deep understanding of systems engineering principles and best practices. The course also covers the latest tools and technologies used by Systems Engineers, such as Linux, Windows, and VMware.
Network Engineer
Network Engineer
Network Engineers design, implement, and maintain computer networks. They work with stakeholders to understand requirements and develop solutions that are scalable, reliable, and secure. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a deep understanding of networking principles and best practices. The course also covers the latest tools and technologies used by Network Engineers, such as Cisco, Juniper, and Arista.
Security Engineer
Security Engineer
Security Engineers design, implement, and maintain computer security systems. They work with stakeholders to understand requirements and develop solutions that are scalable, reliable, and secure. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a deep understanding of security principles and best practices. The course also covers the latest tools and technologies used by Security Engineers, such as firewalls, intrusion detection systems, and anti-malware software.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, implement, and maintain cloud computing systems. They work with stakeholders to understand requirements and develop solutions that are scalable, reliable, and secure. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a deep understanding of cloud computing principles and best practices. The course also covers the latest tools and technologies used by Cloud Engineers, such as AWS, Azure, and Google Cloud Platform.
Data Manager
Data Manager
Data Managers develop and implement strategies for managing data. They work with stakeholders to identify data requirements and develop policies and procedures for data collection, storage, and use. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a deep understanding of data management principles and best practices. The course also covers the latest tools and technologies used by Data Managers, such as data governance software and data quality tools.
Business Analyst
Business Analyst
Business Analysts work with stakeholders to understand business needs and develop solutions that meet those needs. They use data to identify opportunities and solve problems. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a strong foundation in business analysis concepts and techniques. The course also covers the latest tools and technologies used by Business Analysts, such as data visualization tools and business process modeling software.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They work with stakeholders to define project goals, develop project plans, and track project progress. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a deep understanding of project management principles and best practices. The course also covers the latest tools and technologies used by Project Managers, such as project management software and collaboration tools.
Technical Writer
Technical Writer
Technical Writers create documentation that explains how to use products and services. They work with subject matter experts to gather information and develop clear and concise documentation. This certification course can help you develop the skills and knowledge you need to succeed in this role by providing you with a deep understanding of technical writing principles and best practices. The course also covers the latest tools and technologies used by Technical Writers, such as word processors and content management systems.
For more career information including salaries, visit:
OpenCourser.com/course/g53glx/preparing
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Preparing for Professional Data Engineer Journey - Português.
Save
This in-depth book explores the challenges of building and maintaining large-scale, data-intensive applications, and provides solutions to common problems in this domain. It is an excellent reference for engineers who want to gain a deeper understanding of data-intensive systems.
Save
Introduces the fundamentals of big data systems and provides a detailed overview of technologies like Hadoop, Spark, and Cassandra. It is an excellent resource for engineers who want to gain a foundational understanding of big data concepts.
This practical guide focuses on data analysis using Pandas, a popular Python library. It provides comprehensive coverage of data manipulation, cleaning, and visualization techniques, making it a valuable resource for engineers who want to gain proficiency in data analysis.
Provides a hands-on introduction to data science using Python, covering topics like data cleaning, analysis, and visualization. It valuable resource for engineers who want to learn the fundamentals of data science and gain practical experience.
Provides a comprehensive introduction to machine learning using TensorFlow, one of the most popular frameworks for deep learning. While it does not focus specifically on data engineering, it covers topics like data preprocessing and feature engineering, which are important aspects of data engineering pipelines.
Offers a business-oriented perspective on data science, covering topics like data collection, analysis, and decision-making. It valuable resource for engineers who want to understand the business context of data engineering and how it can drive business value.
This beginner-friendly book provides an accessible introduction to machine learning concepts and techniques. While it does not focus on data engineering, it can be a useful resource for engineers who want to gain a basic understanding of machine learning algorithms and their applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/g53glx/preparing
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