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Google Cloud Training
Os dois principais componentes de um pipeline de dados são data lakes e warehouses. Neste curso, destacamos os casos de uso para cada tipo de armazenamento e as soluções de data lake e warehouse disponíveis no Google Cloud de forma detalhada e técnica. Além disso, também descrevemos o papel de um engenheiro de dados, os benefícios de um pipeline de dados funcional para operações comerciais e analisamos por que a engenharia de dados deve ser feita em um ambiente de nuvem.
Read more
Os dois principais componentes de um pipeline de dados são data lakes e warehouses. Neste curso, destacamos os casos de uso para cada tipo de armazenamento e as soluções de data lake e warehouse disponíveis no Google Cloud de forma detalhada e técnica. Além disso, também descrevemos o papel de um engenheiro de dados, os benefícios de um pipeline de dados funcional para operações comerciais e analisamos por que a engenharia de dados deve ser feita em um ambiente de nuvem.
Read more
Os dois principais componentes de um pipeline de dados são data lakes e warehouses. Neste curso, destacamos os casos de uso para cada tipo de armazenamento e as soluções de data lake e warehouse disponíveis no Google Cloud de forma detalhada e técnica. Além disso, também descrevemos o papel de um engenheiro de dados, os benefícios de um pipeline de dados funcional para operações comerciais e analisamos por que a engenharia de dados deve ser feita em um ambiente de nuvem.
Este é o primeiro curso da série "Data Engineering on Google Cloud". Após a conclusão, recomendamos que você comece o curso "Building Batch Data Pipelines on Google Cloud".
Register for this course and see more details by visiting:
OpenCourser.com/course/1rj2m5/modernizing
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What's inside
Syllabus
Introdução
Este módulo é o primeiro da série "Data Engineering on Google Cloud" e do curso "Modernizing Data Lakes and Data Warehouses with Google Cloud".
Read more
Syllabus
Introdução
Este módulo é o primeiro da série "Data Engineering on Google Cloud" e do curso "Modernizing Data Lakes and Data Warehouses with Google Cloud".
Read more
Introdução à engenharia de dados
Neste módulo, descrevemos o papel de um engenheiro de dados e reforçamos os motivos para desenvolver a engenharia de dados na nuvem.
Como criar um data lake
Neste módulo, você vai saber o que é data lake e como usar o Cloud Storage no seu data lake do Google Cloud.
Como criar um data warehouse
Neste módulo, vamos falar sobre o BigQuery como uma opção de armazenamento em data warehouse no Google Cloud.
Resumo
Um resumo dos principais pontos de aprendizado
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ensina técnicas avançadas de engenharia de dados que são fundamentais para profissionais da área de TI
Aborda tópicos essenciais, como data lakes e data warehouses, que são amplamente utilizados em cenários de big data
Oferece exemplos práticos e demonstrações usando Google Cloud, que é uma plataforma líder na indústria
Fornece uma base sólida para profissionais que buscam aprimorar suas habilidades em engenharia de dados
Requer conhecimento prévio em conceitos de engenharia de dados e tecnologias de nuvem
Save this course
Save Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro to your list so you can find it easily later:
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Reviews summary
Useful overview of data lakes and warehouses
One reviewer highly recommends this course. The reviewer notes that it comprehensively covers data lakes and warehouses, and helped them in their learning journey.
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 em Português Brasileiro with these
activities:
Review the basics of data lakes and data warehouses
Show steps
This activity will help you lay a foundation for success in this course by reviewing the core concepts of data lakes and data warehouses.
Browse courses on
Data Lake
Show steps
-
Read the provided materials on data lakes and data warehouses.
-
Create a simple data lake and data warehouse using your preferred tools.
-
Practice loading and querying data from your data lake and data warehouse.
Join a study group or online forum
Show steps
Participating in a study group or online forum will allow you to connect with other learners, discuss course material, and get feedback on your understanding, which can greatly enhance your learning experience.
Browse courses on
Collaboration
Show steps
-
Find a study group or online forum related to data engineering.
-
Actively participate in discussions and ask questions.
-
Share your knowledge and insights with others.
Review basic programming concepts
Show steps
Reviewing basic programming concepts will strengthen your foundation and make it easier to learn the more advanced concepts covered in the course.
Browse courses on
Programming
Show steps
-
Review your notes or textbooks on basic programming concepts.
-
Complete online tutorials or exercises on programming.
-
Try solving simple programming problems.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Revise data modeling techniques
Show steps
Reviewing data modeling techniques will help you better understand the different ways to structure and organize data, which is essential for building effective data pipelines.
Browse courses on
Data Modeling
Show steps
-
Review your notes or textbooks on data modeling.
-
Complete online tutorials or exercises on data modeling.
-
Practice creating ER diagrams for sample datasets.
Practice querying data using SQL
Show steps
Practicing querying data using SQL will strengthen your ability to extract valuable insights from data, which is a key skill for data engineers.
Browse courses on
SQL
Show steps
-
Sign up for an online SQL practice platform.
-
Work through practice problems and exercises.
-
Try solving real-world data analysis problems using SQL.
Follow tutorials on building data pipelines with Google Cloud
Show steps
This activity will help you develop the skills you need to build and manage data pipelines in Google Cloud.
Browse courses on
Data Pipelines
Show steps
-
Find tutorials on building data pipelines with Google Cloud.
-
Follow the tutorials and complete all the exercises.
-
Deploy your data pipelines to your own Google Cloud project.
Compile a list of resources for data engineering
Show steps
Compiling a list of resources for data engineering will provide you with a valuable reference that you can use throughout your learning journey.
Browse courses on
Resources
Show steps
-
Search for online resources, articles, and tutorials on data engineering.
-
Organize the resources into categories, such as tools, techniques, and best practices.
-
Create a document or spreadsheet to store your list of resources.
Explore open-source tools for data pipelines
Show steps
Exploring open-source tools for data pipelines will give you hands-on experience with the technologies used in the industry, broadening your knowledge and making you more competitive.
Browse courses on
Apache Beam
Show steps
-
Research different open-source tools for data pipelines.
-
Follow tutorials or documentation to set up and use these tools.
-
Build a simple data pipeline using one of the tools.
Build a data pipeline for a real-world use case
Show steps
This activity will give you hands-on experience in building and managing a data pipeline for a real-world use case.
Browse courses on
Data Pipeline
Show steps
-
Identify a real-world use case for a data pipeline.
-
Design and build a data pipeline for your use case using Google Cloud.
-
Deploy your data pipeline to your own Google Cloud project.
-
Monitor and maintain your data pipeline.
Design a data pipeline for a real-world scenario
Show steps
Designing a data pipeline for a real-world scenario will help you apply the concepts you've learned in the course to a practical problem, reinforcing your understanding and building your confidence.
Browse courses on
Data Architecture
Show steps
-
Choose a real-world dataset and define a specific data analysis or business problem.
-
Design the data pipeline architecture, including data sources, transformations, and destination.
-
Create a document or presentation outlining your design.
Mentor a junior data engineer
Show steps
Mentoring a junior data engineer will not only benefit them, but also reinforce your own understanding of data engineering concepts and help you develop your leadership skills.
Browse courses on
Mentoring
Show steps
-
Find a junior data engineer who is looking for mentorship.
-
Set up regular meetings to provide guidance and support.
-
Share your knowledge and experience in data engineering.
Review the basics of data lakes and data warehouses
Show steps
This activity will help you lay a foundation for success in this course by reviewing the core concepts of data lakes and data warehouses.
Browse courses on
Data Lake
Show steps
Show steps
Show steps
- Read the provided materials on data lakes and data warehouses.
- Create a simple data lake and data warehouse using your preferred tools.
- Practice loading and querying data from your data lake and data warehouse.
Join a study group or online forum
Show steps
Participating in a study group or online forum will allow you to connect with other learners, discuss course material, and get feedback on your understanding, which can greatly enhance your learning experience.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Find a study group or online forum related to data engineering.
- Actively participate in discussions and ask questions.
- Share your knowledge and insights with others.
Review basic programming concepts
Show steps
Reviewing basic programming concepts will strengthen your foundation and make it easier to learn the more advanced concepts covered in the course.
Browse courses on
Programming
Show steps
Show steps
Show steps
- Review your notes or textbooks on basic programming concepts.
- Complete online tutorials or exercises on programming.
- Try solving simple programming problems.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Revise data modeling techniques
Show steps
Reviewing data modeling techniques will help you better understand the different ways to structure and organize data, which is essential for building effective data pipelines.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Review your notes or textbooks on data modeling.
- Complete online tutorials or exercises on data modeling.
- Practice creating ER diagrams for sample datasets.
Practice querying data using SQL
Show steps
Practicing querying data using SQL will strengthen your ability to extract valuable insights from data, which is a key skill for data engineers.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Sign up for an online SQL practice platform.
- Work through practice problems and exercises.
- Try solving real-world data analysis problems using SQL.
Follow tutorials on building data pipelines with Google Cloud
Show steps
This activity will help you develop the skills you need to build and manage data pipelines in Google Cloud.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Find tutorials on building data pipelines with Google Cloud.
- Follow the tutorials and complete all the exercises.
- Deploy your data pipelines to your own Google Cloud project.
Compile a list of resources for data engineering
Show steps
Compiling a list of resources for data engineering will provide you with a valuable reference that you can use throughout your learning journey.
Browse courses on
Resources
Show steps
Show steps
Show steps
- Search for online resources, articles, and tutorials on data engineering.
- Organize the resources into categories, such as tools, techniques, and best practices.
- Create a document or spreadsheet to store your list of resources.
Explore open-source tools for data pipelines
Show steps
Exploring open-source tools for data pipelines will give you hands-on experience with the technologies used in the industry, broadening your knowledge and making you more competitive.
Browse courses on
Apache Beam
Show steps
Show steps
Show steps
- Research different open-source tools for data pipelines.
- Follow tutorials or documentation to set up and use these tools.
- Build a simple data pipeline using one of the tools.
Build a data pipeline for a real-world use case
Show steps
This activity will give you hands-on experience in building and managing a data pipeline for a real-world use case.
Browse courses on
Data Pipeline
Show steps
Show steps
Show steps
- Identify a real-world use case for a data pipeline.
- Design and build a data pipeline for your use case using Google Cloud.
- Deploy your data pipeline to your own Google Cloud project.
- Monitor and maintain your data pipeline.
Design a data pipeline for a real-world scenario
Show steps
Designing a data pipeline for a real-world scenario will help you apply the concepts you've learned in the course to a practical problem, reinforcing your understanding and building your confidence.
Browse courses on
Data Architecture
Show steps
Show steps
Show steps
- Choose a real-world dataset and define a specific data analysis or business problem.
- Design the data pipeline architecture, including data sources, transformations, and destination.
- Create a document or presentation outlining your design.
Mentor a junior data engineer
Show steps
Mentoring a junior data engineer will not only benefit them, but also reinforce your own understanding of data engineering concepts and help you develop your leadership skills.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Find a junior data engineer who is looking for mentorship.
- Set up regular meetings to provide guidance and support.
- Share your knowledge and experience in data engineering.
Career center
Learners who complete Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro will develop knowledge and skills
that may be useful to these careers:
Database Architect
Database Architect
A Database Architect creates and maintains an organization's database management system. This course will provide foundational knowledge on the use of Google Cloud products such as Cloud Storage and BigQuery to create data lakes and data warehouses, which may be useful for career development.
Data Integration Engineer
Data Integration Engineer
A Data Integration Engineer designs and builds data integration solutions. This course will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to create and manage data integration solutions, which may be useful for career development.
Data Warehouse Engineer
Data Warehouse Engineer
A Data Warehouse Engineer designs and manages data warehouses. This course will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to create and manage data warehouses, which may be useful for career development.
Data Engineer
Data Engineer
A Data Engineer builds and maintains data pipelines and infrastructure to store, process, and analyze data effectively. This course will provide foundational knowledge on the use of Google Cloud products such as Cloud Storage and BigQuery to create data lakes and data warehouses. In particular, the introduction to data engineering practices and principles may be useful for career development.
Data Architect
Data Architect
A Data Architect designs and manages data systems. This course will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to create and manage data storage solutions, which may be useful for career development.
Database Administrator
Database Administrator
A Database Administrator manages and maintains an organization's database systems. This course will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to create and manage data storage solutions, which may be useful for career development.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to improve decision-making. This course may be useful for career development as it will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to store and analyze data to extract insights.
Data Scientist
Data Scientist
A Data Scientist develops and deploys machine learning and statistical models to analyze data and solve business problems. This course may be useful for career development as it will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to store and analyze data at scale.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst gathers, analyzes, and presents data to help organizations make informed decisions. This course may be useful for career development as it will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to store and analyze data to extract meaningful insights.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be useful for career development as it will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to store and manage data for software applications.
Cloud Architect
Cloud Architect
A Cloud Architect designs and manages cloud computing solutions. This course may be useful for career development as it will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to build and manage data storage and processing solutions in the cloud.
Information Architect
Information Architect
An Information Architect designs and manages an organization's information systems. This course may be useful for career development as it will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to store and manage data for information systems.
Information Technology Administrator
Information Technology Administrator
An Information Technology Administrator manages and maintains an organization's IT systems and infrastructure. This course may be useful for career development as it will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to store and manage data for IT systems.
Data Engineer Manager
Data Engineer Manager
A Data Engineer Manager leads and manages a team of data engineers. This course may be useful for career development as it will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to build and manage data engineering solutions.
Systems Analyst
Systems Analyst
A Systems Analyst studies how an organization's systems work together to meet business needs. This course may be useful for career development as it will provide foundational knowledge on the use of Google Cloud products, such as Cloud Storage and BigQuery, to store and analyze data to improve organizational efficiency.
For more career information including salaries, visit:
OpenCourser.com/course/1rj2m5/modernizing
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
Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro.
Provides a comprehensive overview of data engineering with Google BigQuery. It great resource for anyone who wants to learn more about data engineering with BigQuery or who is looking for a reference book.
Classic in the field of data warehousing. It provides a comprehensive overview of the concepts, technologies, and applications of data warehousing. It great resource for anyone who wants to learn more about data warehousing or who is looking for a reference book.
Provides a comprehensive overview of data engineering on Google Cloud Platform. It great resource for anyone who wants to learn more about data engineering on GCP or who is looking for a reference book.
Provides a comprehensive overview of modern data warehousing with Google BigQuery. It great resource for anyone who wants to learn more about modern data warehousing with BigQuery or who is looking for a reference book.
Provides a comprehensive overview of dimensional modeling, a technique for designing data warehouses. It great resource for anyone who wants to learn more about dimensional modeling or who is looking for a reference book.
Provides a comprehensive overview of data lakes and how they can be used to store and manage large volumes of data. It great resource for anyone who is new to data lakes or wants to learn more about them.
Save
Provides a comprehensive overview of data mesh, a new architecture for data democratization. It great resource for anyone who wants to learn more about data mesh or who is looking for a reference book.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1rj2m5/modernizing
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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
- 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 (viewing)
Good to know
Ensina técnicas avançadas de engenharia de dados que são fundamentais para profissionais da área de TI
Aborda tópicos essenciais, como data lakes e data warehouses, que são amplamente utilizados em cenários de big data
Oferece exemplos práticos e demonstrações usando Google Cloud, que é uma plataforma líder na indústria
Fornece uma base sólida para profissionais que buscam aprimorar suas habilidades em engenharia de dados
Requer conhecimento prévio em conceitos de engenharia de dados e tecnologias de nuvem
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