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Building Resilient Streaming Analytics Systems on GCP em Português Brasileiro

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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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
Mensagens sem servidor com o Pub/Sub
Neste módulo, explicamos como usar o Pub/Sub para ingerir dados de streaming de entrada
Recursos de streaming do Dataflow
Neste módulo, revemos o Dataflow e focamos nos recursos do serviço para processamento de dados de streaming
Streaming com alta capacidade de processamento no Cloud Bigtable
Neste módulo, explicamos o BigQuery e o Bigtable para dados de streaming
Recursos e desempenho avançados do BigQuery
Este módulo se aprofunda nos recursos mais avançados do BigQuery
Resumo do curso
Neste módulo, recapitulamos os assuntos abordados no curso

Good to know

Know what's good
, what to watch for
, 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

Thoroughly enjoyable course

This course is a great way to learn about building resilient streaming analytics systems on GCP. The course is well-structured and the content is engaging. I highly recommend this course to anyone who wants to learn more about this topic.

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
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
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
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
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
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
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.

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 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.
See salaries and explore the career path for Data Engineer
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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Software Engineer
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.
See salaries and explore the career path for Cloud Architect
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.
See salaries and explore the career path for Business Analyst
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.
See salaries and explore the career path for DevOps 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.
See salaries and explore the career path for Data Warehouse 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.
See salaries and explore the career path for Big Data Engineer
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.
See salaries and explore the career path for Product Manager
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.
See salaries and explore the career path for Systems Engineer
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.
See salaries and explore the career path for Technical Architect
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.
See salaries and explore the career path for Network 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.
See salaries and explore the career path for Security Engineer
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.
See salaries and explore the career path for Database Administrator

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.
Cover image
Stream Processing with Apache Flink
Save
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.
(English) Stream Processing with Apache Flink: Fundamentals,...
Paperback
$$
(English) Stream Processing with Apache Flink: Fundamentals,...
Kindle Edition
$$
Cover image
Kafka: The Definitive Guide
Save
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.
(English) Kafka: The Definitive Guide: Real-Time Data and...
Paperback
$$
Cover image
Designing Data-Intensive Applications
Save
Covers the principles and patterns of building scalable, reliable, and maintainable data-intensive applications, including streaming systems.
(English) Designing Data-Intensive Applications: The Big...
Paperback
$$
(English) Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
Cover image
Planet Earth III
Save
Focuses on Apache Flume, a popular tool for collecting, aggregating, and moving large amounts of streaming data, offering insights into an alternative technology that can be used for streaming data processing.
(English) Planet Earth III: Accompanies the Landmark Series...
Kindle Edition
$$
Cover image
Python for Data Analysis
Save
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.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check

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Course image
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:
  1. Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro
  2. Building Resilient Streaming Analytics Systems on GCP em Português Brasileiro (viewing)
  3. Building Batch Data Pipelines on GCP em Português Brasileiro
  4. Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro
  5. Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro
Good to know
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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