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Google Cloud Training
O processamento de dados de streaming é cada vez mais usado pelas empresas porque gera métricas sobre as operações comerciais em tempo real. Neste curso, você vai aprender a criar pipelines de dados de streaming no Google Cloud. O Pub/Sub é apresentado como a ferramenta para gerenciar dados de streaming de entrada. No curso, também abordamos a aplicação de agregações e transformações a dados de streaming usando o Dataflow, além de formas de armazenar registros processados no BigQuery ou no Cloud Bigtable para análise. Os participantes vão ganhar experiência prática na criação de componentes de pipelines de dados de streaming no Google Cloud usando o Qwiklabs.
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OpenCourser.com/course/7nnv1k/building
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What's inside
Syllabus
Introdução
Neste módulo, você vai conhecer o curso e a programação dele
Introdução ao processamento de dados de streaming
Neste módulo, falamos sobre os desafios do processamento de dados de streaming.
Read more
Syllabus
Introdução
Neste módulo, você vai conhecer o curso e a programação dele
Introdução ao processamento de dados de streaming
Neste módulo, falamos sobre os desafios do processamento de dados de streaming.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Ensina técnicas de processamento de dados em streaming, imprescindíveis para trabalhos na área de TI
Prepara profissionais para atuar na área de processamento de dados, com foco em alta performance
Aborda ferramentas e serviços do Google Cloud, líder do mercado de processamento de dados
Fornece experiência prática por meio do Qwiklabs, plataforma de laboratórios de nuvem
Voltado para profissionais de TI que buscam se especializar em processamento de dados em streaming
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Reviews summary
Construindo sistemas de análise de streaming resilientes em gcp
Segundo os estudantes, este curso é altamente recomendado para profissionais de dados que buscam dominar a criação de pipelines de dados de streaming resilientes no GCP. O conteúdo é atualizado e relevante, cobrindo serviços essenciais como Pub/Sub, Dataflow, BigQuery e Cloud Bigtable. A experiência prática proporcionada pelos laboratórios Qwiklabs é um dos pontos mais fortes, permitindo aplicar conceitos em cenários reais. Contudo, é fundamental possuir pré-requisitos sólidos em conceitos de nuvem e engenharia de dados para um melhor aproveitamento. A qualidade da localização em Português Brasileiro é consistentemente elogiada.
Bem adaptado para falantes de português brasileiro.
"A tradução e a narração em Português Brasileiro são excelentes, facilitando muito o aprendizado."
"É ótimo ter um conteúdo de alta qualidade técnica disponível no nosso idioma, sem precisar depender de legendas."
"Os termos técnicos foram bem adaptados e não houve confusão devido à língua, o que é um grande diferencial."
Aborda tópicos e serviços atualizados do GCP.
"O curso cobriu os serviços mais importantes do GCP para streaming de forma muito completa e detalhada."
"Aprendi sobre Pub/Sub e Dataflow de uma maneira que consigo ver a aplicação direta no meu trabalho diário."
"A discussão sobre resiliência de sistemas foi muito valiosa, mostrando como construir algo robusto e confiável."
Fornece prática crucial com ferramentas GCP reais.
"Os Qwiklabs são fantásticos! Pude aplicar cada conceito aprendido imediatamente, o que solidificou muito meu entendimento."
"Gostei muito da abordagem mão na massa, os exercícios práticos fazem toda a diferença para quem quer realmente construir sistemas."
"Saí do curso sentindo que tenho a capacidade de configurar pipelines reais, graças à quantidade de prática fornecida."
Curso desafiador, exige base em nuvem e programação.
"Recomendo ter um bom entendimento de GCP e Python antes de começar, pois o ritmo é acelerado e os tópicos são complexos."
"Não é um curso para iniciantes absolutos. É preciso ter alguma experiência com dados e infraestrutura de nuvem."
"Alguns módulos avançados do BigQuery e Dataflow pressupõem um nível de familiaridade que nem todos podem ter."
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 Building Resilient Streaming Analytics Systems on GCP em Português Brasileiro with these
activities:
Review streaming data concepts
Show steps
Solidify your understanding of streaming data concepts to prepare for the course.
Browse courses on
Streaming Data
Show steps
-
Read articles and blog posts about streaming data.
-
Watch videos and tutorials on streaming data.
-
Complete practice exercises on streaming data concepts.
Organize and review course materials
Show steps
Stay organized and improve your understanding by reviewing and整理材料materials.
Show steps
-
gather notes, assignments, quizzes, and exams in a central location.
-
Review the materials regularly and make notes or summaries.
-
Identify areas where you need additional clarification or practice.
Complete Pub/Sub tutorials
Show steps
Strengthen your understanding of Pub/Sub by working through tutorials.
Browse courses on
Pub/Sub
Show steps
-
Find tutorials on Pub/Sub from Google Cloud or other reputable sources.
-
Follow the tutorials step-by-step and complete any practice exercises.
-
Experiment with Pub/Sub by creating a simple project.
Three other activities
Expand to see all activities and additional details
Show all six activities
Write a blog post or article on streaming data
Show steps
Share your knowledge and insights on streaming data by creating written content.
Browse courses on
Streaming Data
Show steps
-
Choose a specific topic or aspect of streaming data to write about.
-
Research and gather information from reputable sources.
-
Write a well-structured and informative blog post or article.
-
Publish your content on a relevant platform or blog.
Build a simple streaming data pipeline
Show steps
Apply your knowledge by creating a basic streaming data pipeline.
Show steps
-
Design a simple data pipeline that ingests data from a source and processes it.
-
Choose and set up the necessary tools and services, such as Pub/Sub and Dataflow.
-
Implement the data pipeline and test its functionality.
-
Monitor the pipeline and make any necessary adjustments.
Contribute to an open-source streaming data project
Show steps
Gain practical experience and contribute to the streaming data community.
Browse courses on
Streaming Data
Show steps
-
Identify an open-source streaming data project that aligns with your interests.
-
Review the project's documentation and contribute code.
-
Participate in discussions and help other contributors.
-
Submit bug reports and feature requests.
Review streaming data concepts
Show steps
Solidify your understanding of streaming data concepts to prepare for the course.
Browse courses on
Streaming Data
Show steps
Show steps
Show steps
- Read articles and blog posts about streaming data.
- Watch videos and tutorials on streaming data.
- Complete practice exercises on streaming data concepts.
Organize and review course materials
Show steps
Stay organized and improve your understanding by reviewing and整理材料materials.
Show steps
Show steps
Show steps
- gather notes, assignments, quizzes, and exams in a central location.
- Review the materials regularly and make notes or summaries.
- Identify areas where you need additional clarification or practice.
Complete Pub/Sub tutorials
Show steps
Strengthen your understanding of Pub/Sub by working through tutorials.
Browse courses on
Pub/Sub
Show steps
Show steps
Show steps
- Find tutorials on Pub/Sub from Google Cloud or other reputable sources.
- Follow the tutorials step-by-step and complete any practice exercises.
- Experiment with Pub/Sub by creating a simple project.
Three other activities
Expand to see all activities and additional details
Show all six activities
Write a blog post or article on streaming data
Show steps
Share your knowledge and insights on streaming data by creating written content.
Browse courses on
Streaming Data
Show steps
Show steps
Show steps
- Choose a specific topic or aspect of streaming data to write about.
- Research and gather information from reputable sources.
- Write a well-structured and informative blog post or article.
- Publish your content on a relevant platform or blog.
Build a simple streaming data pipeline
Show steps
Apply your knowledge by creating a basic streaming data pipeline.
Show steps
Show steps
Show steps
- Design a simple data pipeline that ingests data from a source and processes it.
- Choose and set up the necessary tools and services, such as Pub/Sub and Dataflow.
- Implement the data pipeline and test its functionality.
- Monitor the pipeline and make any necessary adjustments.
Contribute to an open-source streaming data project
Show steps
Gain practical experience and contribute to the streaming data community.
Browse courses on
Streaming Data
Show steps
Show steps
Show steps
- Identify an open-source streaming data project that aligns with your interests.
- Review the project's documentation and contribute code.
- Participate in discussions and help other contributors.
- Submit bug reports and feature requests.
Career center
Learners who complete Building Resilient Streaming Analytics Systems on GCP em Português Brasileiro will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers are responsible for building, testing, and maintaining data pipelines. These pipelines can be used to process streaming data, which requires a deep understanding of the challenges involved. This course introduces you to the Pub/Sub service, which is used to manage streaming data in Google Cloud. You will also learn how to use the Dataflow service to apply transformations and aggregations to streaming data. This course will also teach data storage techniques for processed records using BigQuery and Cloud Bigtable.
Data Analyst
Data Analyst
Data Analysts use data to make informed decisions. This course introduces you to the BigQuery service, which is used to analyze large datasets. You will also learn how to use the Dataflow service to process streaming data. This course will help you build a foundation for a career as a Data Analyst.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Pub/Sub service to manage streaming data in Google Cloud. This course will help you build a foundation for a career as a Software Engineer.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Dataflow service to process streaming data. This course will help you build a foundation for a career as a Data Scientist.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Pub/Sub service to manage streaming data in Google Cloud. This course will help you build a foundation for a career as a Cloud Architect.
DevOps Engineer
DevOps Engineer
DevOps Engineers bridge the gap between development and operations. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Pub/Sub service to manage streaming data in Google Cloud. This course will help you build a foundation for a career as a DevOps Engineer.
Business Analyst
Business Analyst
Business Analysts use data to make informed decisions. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Dataflow service to process streaming data. This course will help you build a foundation for a career as a Business Analyst.
Product Manager
Product Manager
Product Managers develop and manage software products. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Pub/Sub service to manage streaming data in Google Cloud. This course will help you build a foundation for a career as a Product Manager.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design and maintain data warehouses. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the BigQuery service to analyze large datasets. This course will help you build a foundation for a career as a Data Warehouse Engineer.
Big Data Engineer
Big Data Engineer
Big Data Engineers design and manage big data systems. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Dataflow service to process streaming data. This course will help you build a foundation for a career as a Big Data Engineer.
Database Administrator
Database Administrator
Database Administrators manage databases. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Cloud Bigtable service to store streaming data. This course will help you build a foundation for a career as a Database Administrator.
Network Engineer
Network Engineer
Network Engineers design and manage computer networks. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Pub/Sub service to manage streaming data in Google Cloud. This course will help you build a foundation for a career as a Network Engineer.
Security Engineer
Security Engineer
Security Engineers design and manage security systems. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Pub/Sub service to manage streaming data in Google Cloud. This course will help you build a foundation for a career as a Security Engineer.
Systems Engineer
Systems Engineer
Systems Engineers design and manage computer systems. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Pub/Sub service to manage streaming data in Google Cloud. This course will help you build a foundation for a career as a Systems Engineer.
Technical Architect
Technical Architect
Technical Architects design and manage technical systems. This course introduces you to the fundamentals of streaming data processing. You will also learn how to use the Pub/Sub service to manage streaming data in Google Cloud. This course will help you build a foundation for a career as a Technical Architect.
For more career information including salaries, visit:
OpenCourser.com/course/7nnv1k/building
Reading list
We've selected five 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
Building Resilient Streaming Analytics Systems on GCP em Português Brasileiro.
Focuses specifically on using Apache Flink for streaming data processing, providing practical examples and insights that can enhance the hands-on experience gained in this course.
Offers a deep dive into Apache Kafka, one of the most popular streaming platforms for building scalable and reliable streaming data pipelines. It covers topics such as data ingestion, processing, and storage.
Covers the principles and patterns of building scalable, reliable, and maintainable data-intensive applications, including streaming systems.
Save
Focuses on Apache Flume, a popular tool for collecting, aggregating, and moving large amounts of streaming data, offering insights into an alternative technology that can be used for streaming data processing.
Covers Python for data analysis, offering a good starting point for learners who need to improve their Python skills to get the most out of this course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7nnv1k/building
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Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Português
Transcript
English
This course belongs to a
collection
called
Data Engineer, Big Data and ML on Google Cloud em Português. It's comprised of five courses:
- Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro
- Building Resilient Streaming Analytics Systems on GCP em Português Brasileiro (viewing)
- Building Batch Data Pipelines on GCP em Português Brasileiro
- Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro
- Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro
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