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Google Cloud Training

Les lacs de données et les entrepôts de données sont les deux principaux composants des pipelines de données. Ce cours présente des cas d'utilisation de chaque type de stockage, ainsi que les détails techniques des solutions de lacs et d'entrepôts de données disponibles sur Google Cloud. Il décrit également le rôle des ingénieurs de données et les avantages d'un pipeline de données réussi sur les opérations commerciales, avant d'expliquer pourquoi il est important de procéder à l'ingénierie des données dans un environnement cloud.

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Les lacs de données et les entrepôts de données sont les deux principaux composants des pipelines de données. Ce cours présente des cas d'utilisation de chaque type de stockage, ainsi que les détails techniques des solutions de lacs et d'entrepôts de données disponibles sur Google Cloud. Il décrit également le rôle des ingénieurs de données et les avantages d'un pipeline de données réussi sur les opérations commerciales, avant d'expliquer pourquoi il est important de procéder à l'ingénierie des données dans un environnement cloud.

Il s'agit du premier cours de la série ""Data Engineering on Google Cloud"". Après l'avoir terminé, inscrivez-vous au cours Building Batch Data Pipelines on Google Cloud.

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What's inside

Syllabus

Présentation
Ce module présente la série de cours "Data Engineering on Google Cloud" ainsi que le cours "Modernizing Data Lakes and Data Warehouses with Google Cloud".
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Présentation de l'ingénierie des données
Ce module décrit le rôle des ingénieurs de données et explique pourquoi il est important de procéder à l'ingénierie des données dans le cloud.
Créer un lac de données
Dans ce module, nous verrons ce qu'est un lac de données et comment utiliser Cloud Storage comme lac de données sur Google Cloud.
Créer un entrepôt de données
Dans ce module, nous parlerons de BigQuery en tant que solution d'entreposage de données sur Google Cloud.
Résumé
Résumé des points essentiels à retenir

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Cette formation peut être pertinente pour les personnes qui évoluent dans les secteurs de l'informatique, comme les analystes de données et les ingénieurs de données
Elle offre une introduction complète à l'ingénierie des données, y compris les concepts de base et les meilleures pratiques
Elle fournit des informations sur les solutions d'entreposage et de lac de données disponibles sur Google Cloud
Elle est dispensée par Google Cloud Training, qui a une solide réputation dans le domaine de la formation aux technologies cloud

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Reviews summary

Data lakes and data warehouses with gcp

Modernizing Data Lakes and Data Warehouses with GCP en Français is an introductory level course for students who want to understand GCP data lake and warehouse solutions. Overall, this course has positive feedback from students. While it has good content, there are occasional language issues but the instructors are great.
Instructors are great.
"Instructors are great"
Good, positive feedback from students.
"Great course"
Occasional language issues in the French version, especially in the quizzes.
"A bug in FR version in Week 2 : the question in French invites to select one single version whereas it should invite to select multiple true statements"
"Instructors are great, thanks. Regarding the quizz, one appreciated thing would be to have the possibility to see the question in english also. This would avoid misunderstanding as some sentences (at least in french) are difficult to understand due to wrong verb or words used."

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 Modernizing Data Lakes and Data Warehouses with GCP en Français with these activities:
Suivre des tutoriels sur les lacs de données et les entrepôts de données
Les tutoriels guidés vous fourniront des instructions étape par étape pour travailler avec les lacs de données et les entrepôts de données sur Google Cloud.
Show steps
  • Identifier les tutoriels pertinents
  • Suivre les instructions pas à pas
  • Tester les solutions fournies
Review foundational data engineering concepts
Strengthen your understanding of foundational data engineering concepts to prepare for the course content.
Browse courses on Data Engineering
Show steps
  • Review previous coursework or study materials
  • Complete practice questions and exercises
  • Read articles and blog posts on data engineering
Créer un registre de vos notes
Réunir vos notes, devoirs, quiz et examens vous permettra de revoir et d'améliorer votre compréhension du contenu du cours.
Show steps
  • Collecter les matériaux du cours
  • Organiser les matériaux par sujet
  • Identifier les domaines à améliorer
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Compile course materials
Organize and review course notes, assignments, practice questions, and past exams to refresh your understanding of the course material.
Show steps
  • Review module videos and slides
  • Organize notes by topic
  • Complete practice quizzes and exams
  • Review assignments and feedback
Participer à des groupes d'étude sur les lacs de données et les entrepôts de données
Discuter avec des pairs vous permettra de partager des connaissances, d'échanger des idées et d'améliorer votre compréhension du sujet.
Show steps
  • Identifier les groupes d'étude pertinents
  • Participer activement aux discussions
  • Collaborer sur des projets et des exercices
Follow guided tutorials on Google Cloud
Reinforce your understanding of the technical details of Google Cloud's data lake and data warehouse solutions by following guided tutorials.
Browse courses on Google Cloud Storage
Show steps
  • Choose a tutorial relevant to your interests and skill level
  • Follow the tutorial step-by-step
  • Take notes and ask questions as needed
  • Complete the exercises and challenges
Practice data transformation and analysis exercises
Enhance your data transformation and analysis skills by completing practice exercises that simulate real-world scenarios.
Browse courses on Data Transformation
Show steps
  • Find a platform or resource that provides practice exercises
  • Choose exercises that are relevant to your skill level and interests
  • Complete the exercises and check your answers
  • Analyze your results and identify areas for improvement
Join a study group with peers
Enhance your learning experience by collaborating with peers in a study group to discuss concepts, solve problems, and provide support.
Show steps
  • Find or create a study group with peers who are also taking the course
  • Regularly meet to discuss course material
  • Work together to solve problems and assignments
Attend a data engineering meetup
Connect with other data engineers and professionals in the field to exchange knowledge, ideas, and experiences.
Show steps
  • Search for upcoming data engineering meetups in your area
  • Register and attend the meetup
  • Network with attendees and participate in discussions
Exercices pratiques sur le stockage des données
Résoudre des exercices pratiques vous aidera à renforcer votre compréhension des concepts de stockage des données cloud.
Show steps
  • Identifier les différents types de stockage de données
  • Explorer les fonctionnalités de Cloud Storage et BigQuery
  • Concevoir et implémenter des solutions de stockage de données
Construire un lac de données pour un projet personnel
Travailler sur un projet personnel vous permettra d'appliquer vos connaissances et de développer des compétences pratiques en matière de création et de gestion d'un lac de données.
Show steps
  • Définir les objectifs du projet
  • Concevoir l'architecture du lac de données
  • Collecter et charger les données
  • Analyser les données et tirer des conclusions
Write a blog post on data engineering
Solidify your understanding of data engineering by writing a blog post that summarizes the key concepts and best practices.
Show steps
  • Choose a specific topic related to data engineering
  • Research and gather information from credible sources
  • Organize your thoughts and outline your post
  • Write the blog post, ensuring clarity and conciseness
  • Proofread and edit your post before publishing
Volunteer on a data engineering project
Gain practical experience and contribute to the community by volunteering on a data engineering project.
Show steps
  • Find organizations or projects that need volunteers
  • Contact the project organizers and express your interest
  • Be prepared to contribute your skills and knowledge

Career center

Learners who complete Modernizing Data Lakes and Data Warehouses with GCP en Français will develop knowledge and skills that may be useful to these careers:
Cloud Data Engineer
Cloud Data Engineers are responsible for planning, designing, and managing data storage and analysis systems in cloud computing environments. Experience with GCP is considered highly desirable. This course provides skills in using GCP's Cloud Storage and BigQuery for data storage and analysis. With this foundation, you will have the skills necessary to transition into a role as a Cloud Data Engineer.
Data Engineer
Data Engineers design, build, and maintain data pipelines that collect, clean, and transform data from various sources into a consistent format. This course provides an introduction to GCP's Cloud Storage and BigQuery tools. Learning these tools will help you develop a foundation that may lead to success in a Data Engineer role.
Data Architect
Data Architects are responsible for designing, building, and maintaining data management systems. This course introduces Google Cloud's storage and analysis tools, including Cloud Storage and BigQuery. Earning the skills necessary to work with these tools will position you well to become a Data Architect.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course helps develop a foundation in data storage and retrieval using Google Cloud's Cloud Storage and BigQuery. By building this foundation, you may become more successful in a database administration role.
Data Scientist
Data Scientists use data to develop machine learning models and algorithms to solve business problems. While this course does not explicitly teach machine learning, it does provide the necessary grounding in data storage and retrieval. In particular, you will learn to use Google Cloud's BigQuery, which is a useful tool Data Scientists use for data storage and analysis.
Software Engineer
Software Engineers design, develop, and maintain software applications. They often need to work with data, and this course may be useful for expanding your knowledge of data storage and retrieval techniques using Google Cloud's Cloud Storage and BigQuery.
Project Manager
Project Managers are responsible for planning, organizing, and managing projects. They often need to work with data, and this course may help you expand your data storage and retrieval knowledge through the use of Google Cloud's Cloud Storage and BigQuery.
Business Analyst
Business Analysts analyze data to identify trends and insights that help businesses make better decisions. This course may be helpful for Business Analysts who seek to improve their technical skills by learning about Google Cloud's Cloud Storage and BigQuery. This knowledge may give you an edge over other candidates.
Product Manager
Product Managers are responsible for the development and launch of new products. They often need to work with data, and this course may provide some of the technical knowledge necessary for handling data. In particular, you will learn about Google Cloud's Cloud Storage and BigQuery.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. This course may provide some of the technical knowledge necessary for handling data. In particular, you will learn about Google Cloud's Cloud Storage and BigQuery.
Business Intelligence Analyst
Business Intelligence Analysts use data to develop insights and recommendations that help businesses make better decisions. This course may be helpful, as it teaches how to use Google Cloud's Cloud Storage and BigQuery.
Market Researcher
Market Researchers collect and analyze data to identify trends and insights that help businesses make better decisions. This course may be helpful, as it teaches how to use Google Cloud's Cloud Storage and BigQuery.
Quantitative Analyst
Quantitative Analysts use data to develop financial models and make investment decisions. This course may be helpful, as it teaches how to use Google Cloud's Cloud Storage and BigQuery.
Data Warehouse Architect
Data Warehouse Architects design, build, and maintain data warehouses. This course may be helpful, as it teaches how to use Google Cloud's BigQuery.
Systems Analyst
Systems Analysts design, build, and maintain computer systems. This course may be helpful, as it teaches how to use Google Cloud's Cloud Storage and BigQuery.

Reading list

We've selected nine 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 Modernizing Data Lakes and Data Warehouses with GCP en Français.
Ce livre fournit une introduction pratique au traitement de texte intensif de données à l'aide de MapReduce. Il couvre des sujets tels que l'indexation, la recherche et la classification de texte. C'est une ressource précieuse pour quiconque souhaite en savoir plus sur le traitement de texte intensif de données et ses applications.
Ce livre fournit une introduction pratique à la science des données à partir de zéro. Il couvre des sujets tels que la collecte de données, la préparation de données et l'analyse des données. C'est une ressource précieuse pour quiconque souhaite en savoir plus sur la science des données et ses applications.
Ce livre fournit une introduction complète à l'apprentissage profond. Il couvre des sujets tels que les réseaux de neurones, les réseaux convolutifs et les réseaux récurrents. C'est une ressource précieuse pour quiconque souhaite en savoir plus sur l'apprentissage profond et ses applications.
Ce livre fournit une introduction complète à l'apprentissage par renforcement. Il couvre des sujets tels que les fonctions de valeur, les politiques et les algorithmes d'apprentissage par renforcement. C'est une ressource précieuse pour quiconque souhaite en savoir plus sur l'apprentissage par renforcement et ses applications.
Ce livre fournit une introduction pratique à l'apprentissage profond à l'aide de fastai et PyTorch. Il couvre des sujets tels que la vision par ordinateur, le traitement du langage naturel et l'apprentissage par renforcement. C'est une ressource précieuse pour quiconque souhaite en savoir plus sur l'apprentissage profond et ses applications.
Ce livre fournit un guide pratique de l'apprentissage automatique à l'aide de Scikit-Learn, Keras et TensorFlow. Il couvre des sujets tels que la régression, la classification et l'apprentissage non supervisé. C'est une ressource précieuse pour quiconque souhaite en savoir plus sur l'apprentissage automatique et ses applications.
Classic introduction to data warehousing. It covers topics such as data warehouse design, data modeling, and data integration. It valuable resource for anyone who wants to learn more about the fundamentals of data warehousing.
Provides a modern perspective on data warehousing. It covers topics such as data lake architecture, data integration, and data analytics. It valuable resource for anyone who wants to learn more about building and managing data warehouses in the cloud.
Provides a comprehensive overview of big data analytics with Hadoop. It covers topics such as data ingestion, transformation, and analytics. It valuable resource for anyone who wants to learn more about building and managing big data pipelines.

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