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Building Resilient Streaming Systems on GCP em Português Brasileiro

Este curso rápido sob demanda tem uma semana de duração e é baseado no Google Cloud Platform Big Data and Machine Learning Fundamentals. Por meio de videoaulas, demonstrações e laboratórios práticos, os participantes aprenderão a criar pipelines de dados de streaming usando o Google Cloud Pub/Sub e o Dataflow para a tomada de decisões em tempo real. Você também aprenderá a criar painéis para renderizar respostas personalizadas para vários tipos de público das partes interessadas.

Pré-requisitos:

• Noções básicas de Big Data e Machine Learning do Google Cloud Platform (ou experiência equivalente)

Pré-requisitos:

• Noções básicas de Big Data e Machine Learning do Google Cloud Platform (ou experiência equivalente)

• Conhecimento de Java

Objetivos:

• Entender os casos de uso para análise de streaming em tempo real

• Usar o serviço de mensagens assíncronas do Google Cloud Pub/Sub para gerenciar eventos de dados

• Criar pipelines de streaming e executar transformações

• Conhecer os dois lados de um pipeline de streaming: produção e consumo

• Interoperar o Dataflow, o BigQuery e o Cloud Pub/Sub para streaming e análise em tempo real

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What's inside

Syllabus

Módulo 1: Arquitetura de canais de análise de streaming

Módulo 2: Ingestão de volumes variáveis

Módulo 3: Implementação de canais de streaming

Módulo 4: Painéis e análises de streaming

Módulo 5: Como lidar com os requisitos de capacidade e latência

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Desenvolve os conhecimentos fundamentais do Google Cloud Platform Big Data and Machine Learning

Aborda casos de uso para análise de streaming em tempo real que são padrão na indústria

Ensina a criar pipelines de streaming e executar transformações, habilidades essenciais para analisar dados em tempo real

Requer conhecimento prévio de Java, o que pode ser uma barreira para alguns alunos

Fornece exemplos práticos por meio de videoaulas, demonstrações e laboratórios, o que facilita o aprendizado

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Reviews summary

Not in english

This course is not currently offered in English and is not supported by Coursera. The first step to learning is to make sure your system is compatible with the course's language.

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 Systems on GCP em Português Brasileiro with these activities:

Connect with Dataflow Experts

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Seeking guidance from experienced Dataflow professionals can accelerate your learning and enhance your understanding.

Browse courses on Mentorship

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Join online communities and forums related to Dataflow.
Reach out to individuals with expertise in Dataflow and request mentorship.

Revise Java concepts

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Brushing up on Java basics will strengthen your foundation for working with Google Cloud Pub/Sub and Dataflow.

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Review core Java concepts such as variables, data types, and control flow.
Practice writing simple Java programs to test your understanding.

Explore Pub/Sub Tutorials

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Familiarizing yourself with Pub/Sub tutorials will provide practical insights into its functionality.

Browse courses on Google Cloud Pub/Sub

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Follow the official Google Cloud Pub/Sub tutorials on topics like creating topics and subscriptions.
Experiment with Pub/Sub concepts by completing code labs and exercises.

Four other activities

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Attend a Dataflow Workshop

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Participating in a Dataflow workshop will provide expert guidance and hands-on experience in building streaming pipelines.

Browse courses on Streaming Analytics

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Identify and register for a relevant Dataflow workshop.
Actively participate in the workshop sessions.
Apply the knowledge gained to your own projects.

Practice Streaming Data Pipelines

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Hands-on practice with streaming data pipelines will enhance your ability to build and deploy them effectively.

Browse courses on Streaming Data Processing

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Create a Dataflow streaming pipeline to process real-time data.
Implement transformations such as filtering, aggregation, and windowing.
Test and debug your pipeline to ensure accurate data processing.

Build a Demo Streaming Dashboard

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Creating a demo dashboard will solidify your understanding of how to present real-time data in a user-friendly manner.

Browse courses on Dashboarding

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Design a dashboard layout and choose appropriate visualization components.
Integrate your Dataflow streaming pipeline with the dashboard.
Test and refine the dashboard to ensure it meets user requirements.

Contribute to Dataflow Open Source

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Contributing to the Dataflow open source project will provide you with valuable insights and practical experience in streaming data processing.

Browse courses on Software Development

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Identify areas within the Dataflow project where you can contribute.
Submit bug reports, feature requests, or code patches.
Collaborate with the Dataflow community to enhance the project.

Career center

Learners who complete Building Resilient Streaming Systems on GCP em Português Brasileiro will develop knowledge and skills that may be useful to these careers:

Data Architect

Data Architects design and implement the data infrastructure that supports an organization's data needs. They work with data analysts and scientists to ensure that data is available and accessible for analysis. This course can help you build a foundation in data architecture, including the skills needed to design and implement data pipelines, data warehouses, and data lakes.

See salaries and explore the career path for Data Architect

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. They work with data analysts and scientists to build and deploy machine learning models that can solve business problems. This course can help you build a foundation in machine learning engineering, including the skills needed to design and develop machine learning models, deploy machine learning models, and monitor machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers design, build, and maintain the systems that store and process data. They work with data analysts and scientists to ensure that data is available and accessible for analysis. This course can help you build a foundation in data engineering, including the skills needed to design and implement data pipelines. You'll also learn how to use cloud computing platforms to store and process data.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use data to build models that can predict future events or outcomes. They work with data analysts and engineers to develop and deploy these models. This course can help you build a foundation in data science, including the skills needed to collect, clean, and analyze data. You'll also learn how to use machine learning algorithms to build predictive models.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts analyze large sets of data for trends, patterns, and anomalies. They use their findings to help businesses make better decisions. This course can help you build a foundation in data analysis, including the skills needed to collect, clean, and analyze data. You'll also learn how to use data visualization tools to present your findings in a clear and concise way.

See salaries and explore the career path for Data Analyst

Data Visualization Specialist

Data Visualization Specialists help businesses communicate data insights to stakeholders. They work with data analysts and scientists to develop and implement data visualization solutions. This course can help you build a foundation in data visualization, including the skills needed to design and develop data visualizations, communicate data insights, and create data-driven presentations.

See salaries and explore the career path for Data Visualization Specialist

Data Privacy Officer

Data Privacy Officers are responsible for protecting an organization's data from unauthorized access and use. They work with data analysts and scientists to develop and implement data privacy policies and procedures. This course can help you build a foundation in data privacy, including the skills needed to develop and implement data privacy policies and procedures, manage data privacy risks, and ensure compliance with data privacy regulations.

See salaries and explore the career path for Data Privacy Officer

Data Security Analyst

Data Security Analysts are responsible for protecting an organization's data from unauthorized access and use. They work with data analysts and scientists to develop and implement data security policies and procedures. This course can help you build a foundation in data security, including the skills needed to develop and implement data security policies and procedures, manage data security risks, and ensure compliance with data security regulations.

See salaries and explore the career path for Data Security Analyst

Data Governance Officer

Data Governance Officers are responsible for the governance of an organization's data. They work with data analysts and scientists to develop and implement data governance policies and procedures. This course can help you build a foundation in data governance, including the skills needed to develop and implement data governance policies and procedures, manage data risks, and ensure compliance with data regulations.

See salaries and explore the career path for Data Governance Officer

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with data analysts and scientists to build and deploy data-driven applications. This course can help you build a foundation in software engineering, including the skills needed to design and implement software applications. You'll also learn how to use cloud computing platforms to deploy and manage applications.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts help businesses understand their data and make better decisions. They work with data analysts and scientists to analyze data and identify opportunities for improvement. This course can help you build a foundation in business analysis, including the skills needed to gather and analyze data, identify opportunities for improvement, and develop and implement solutions.

See salaries and explore the career path for Business Analyst

Sales Analyst

Sales Analysts help businesses understand their sales performance and identify opportunities for improvement. They work with data analysts and scientists to analyze data and identify trends and patterns. This course can help you build a foundation in sales analysis, including the skills needed to gather and analyze data, identify trends and patterns, and develop and implement sales strategies.

See salaries and explore the career path for Sales Analyst

Customer Success Manager

Customer Success Managers help businesses retain their customers and grow their revenue. They work with data analysts and scientists to analyze data and identify opportunities to improve customer satisfaction. This course can help you build a foundation in customer success management, including the skills needed to gather and analyze data, identify opportunities to improve customer satisfaction, and develop and implement customer success programs.

See salaries and explore the career path for Customer Success Manager

Marketing Analyst

Marketing Analysts help businesses understand their customers and develop marketing campaigns that are effective. They work with data analysts and scientists to analyze data and identify trends and patterns. This course can help you build a foundation in marketing analysis, including the skills needed to gather and analyze data, identify trends and patterns, and develop and implement marketing campaigns.

See salaries and explore the career path for Marketing Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. They work with data analysts and scientists to understand customer needs and develop products that meet those needs. This course can help you build a foundation in product management, including the skills needed to gather and analyze data, develop product roadmaps, and launch new products.

See salaries and explore the career path for Product Manager

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 Building Resilient Streaming Systems on GCP em Português Brasileiro.

Oracle Tuning

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Este livro fornece uma visão geral abrangente do gerenciamento de big data com o Microsoft SQL Server. Ele aborda os desafios e as oportunidades associados aos dados em streaming e fornece insights valiosos sobre como extrair valor desses dados.

(English) Advanced Oracle SQL Tuning: The Definitive Reference

Building Resilient Streaming Systems on GCP em Português Brasileiro

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Not in english

Activities

Career center

Reading list

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