Building Resilient Streaming Systems on Google Cloud Platform en Français from Coursera

Ce cours intensif à la demande, d'une durée d'une semaine, complète le cours Google Cloud Platform Big Data and Machine Learning Fundamentals. À travers un ensemble de vidéos, de démonstrations et d'ateliers pratiques, vous allez apprendre à créer des pipelines de flux de données à l'aide de Google Cloud Pub/Sub et de Dataflow pour permettre la prise de décision en temps réel. Vous apprendrez également à créer des tableaux de bord en vue d'obtenir des résultats sur mesure pour les différents types d'intervenants. Prérequis : • Google Cloud Platform Big Data and Machine Learning Fundamentals (ou expérience équivalente) • Quelques notions de Java Objectifs : • Comprendre les cas d'utilisation pour l'analyse de flux en temps réel • Gérer les événements de données à l'aide du service de messagerie asynchrone de Google Cloud Pub/Sub • Coder des pipelines de flux de données et effectuer des transformations si nécessaire • Découvrir les deux facettes d'un pipeline de flux de données : production et consommation • Interopérer Dataflow, BigQuery et Cloud Pub/Sub pour l'analyse des flux de données en temps réel

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Geared toward prior knowledge of Java and Google Cloud Platform Big Data and Machine Learning Fundamentals

Builds fluency in skills core for data analysis in real time

Develops professional skills and deep expertise, optimizing various methods and techniques for event management, data processing, and data analysis

Provides hands-on, practical application in coding pipelines, allowing for proficiency in data analysis

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 Google Cloud Platform en Français with these activities:

Organize Course Materials

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Improves organization and helps recall key concepts.

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Review course slides, videos, and assignments.
Summarize important concepts and create a study guide.
Organize materials into folders and subfolders.

Review GCP Big Data and Machine Learning Fundamentals

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Brings foundational concepts to mind and refreshes earlier course content.

Browse courses on Machine Learning Fundamentals

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Read through and summarize key concepts from the fundamentals course.
Review the slides and videos from the fundamentals course.
Take a practice quiz to test your understanding.

Code Dataflow Pipelines

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Provides hands-on experience with coding Dataflow pipelines.

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Set up a development environment with Java and Dataflow SDK.
Create a simple Dataflow pipeline that reads from and writes to Pub/Sub topics.
Add transformations to the pipeline to filter and aggregate data.

Three other activities

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Attend a Dataflow Workshop

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Provides an opportunity to learn from experts and connect with other Dataflow practitioners.

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Find a Dataflow workshop or conference in your area.
Register for the workshop and attend the sessions.
Network with other attendees and speakers.

Explore Advanced Dataflow Features

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Introduces advanced features of Dataflow that can enhance pipeline performance and functionality.

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Follow tutorials on windowing, triggers, and state management in Dataflow.
Experiment with different Dataflow runner options.
Learn about best practices for deploying and monitoring Dataflow pipelines.

Mentor Junior Developers

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Reinforces knowledge by explaining concepts to others.

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Find junior developers who need help with Dataflow concepts.
Provide guidance and support on Dataflow pipelines and best practices.
Review their code and offer suggestions for improvement.

Career center

Learners who complete Building Resilient Streaming Systems on Google Cloud Platform en Français will develop knowledge and skills that may be useful to these careers:

Streaming Data Engineer

Streaming Data Engineers design and implement real-time data processing and analysis systems. This course provides foundational knowledge for this career.

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Data Architect

Data Architects design and implement data management solutions. This course may help build a foundation for Data Architects who wish to specialize in real-time data processing and analysis.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. This course may help build a foundation for Data Engineers who wish to specialize in real-time data processing and analysis.

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Business Intelligence Analyst

Business Intelligence Analysts collect, analyze, and interpret data to help businesses make better decisions. This course may help build a foundation for Business Intelligence Analysts who wish to specialize in real-time data analysis and decision-making.

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Data Governance Specialist

Data Governance Specialists develop and implement policies and procedures to ensure the proper use of data. This course may be useful for those interested in understanding the fundamentals of streaming data analysis, which can help with data governance and compliance.

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Database Administrator

Database Administrators design, implement, and maintain databases. This course may be useful for those interested in specializing in real-time data processing and analysis.

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Solutions Architect

Solutions Architects design and implement technical solutions for customers. This course may be useful for those interested in specializing in real-time data processing and analysis.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course may help build a foundation for Data Analysts who wish to specialize in real-time data analysis and decision-making.

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Technical Architect

Technical Architects design and implement technology solutions for organizations. This course may be useful for those interested in specializing in real-time data processing and analysis.

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Data Security Analyst

Data Security Analysts protect data from unauthorized access and use. This course may be useful for those interested in understanding the fundamentals of streaming data analysis, which can help with data security and compliance.

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Data Scientist

Data Scientists use data to solve business problems. This course may be useful for those interested in understanding the fundamentals of streaming data analysis, which is a critical component of many data science applications.

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Product Manager

Product Managers are responsible for the development and launch of new products. This course may be useful for those interested in understanding the fundamentals of streaming data analysis, which can provide real-time insights into customer behavior and usage.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for those interested in specializing in real-time data processing and analysis.

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Project Manager

Project Managers plan, execute, and close projects. This course may be useful for those interested in managing projects that involve real-time data analysis and decision-making.

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Machine Learning Engineer

Machine Learning Engineers research, design, and develop self-learning algorithms to solve complex problems. This course may be useful for those interested in understanding the fundamentals of streaming data analysis, which is a critical component of many machine learning applications.

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