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Serverless Data Analysis with Google BigQuery and Cloud Dataflow 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 apresentações com instrutores, demonstrações e laboratórios práticos, os alunos aprenderão a executar armazenamento de dados, análise e processamento de pipeline em um ambiente autônomo.

Pré-requisitos:

• Noções básicas de Big Data e Machine Learning do Google Cloud Platform

• Experiência no uso de uma linguagem de consulta semelhante a SQL para análise de dados

• Conhecimento de Python ou Java

Notas da Conta do Google:

Pré-requisitos:

• Noções básicas de Big Data e Machine Learning do Google Cloud Platform

• Experiência no uso de uma linguagem de consulta semelhante a SQL para análise de dados

• Conhecimento de Python ou Java

Notas da Conta do Google:

• No momento, os serviços do Google não estão disponíveis na China.

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What's inside

Syllabus

Introdução ao curso Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Module 1: Análise de dados sem servidor com o BigQuery

Module 2: Escalonamento automático de canais de processamento de dados com o Dataflow

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Desenvolve competências básicas no processamento de dados autônomo usando o Google BigQuery e o Cloud Dataflow

Abrange habilidades relevantes para profissionais de dados e aprendizes de ciência de dados

Fornece uma base sólida para aprender análises de dados sem servidor

Requer conhecimentos prévios em Big Data e Machine Learning do Google Cloud Platform

Requer experiência em linguagem de consulta semelhante a SQL e Python ou Java

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Reviews summary

Google bigquery and dataflow

This course on Google BigQuery and Dataflow offers a highly positive experience for learners who want to enhance their data analysis skills. Reviewers consistently praise its well-structured content, engaging demos, and helpful lab exercises. While the course is targeted at learners with some background in Big Data and Machine Learning, those who meet the prerequisites will find it an enlightening and rewarding experience.

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 Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro with these activities:

Sharpen Your Python or Java Skills

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Enhance your Python or Java skills to confidently handle coding challenges in this course.

Browse courses on Python

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Review online tutorials and documentation
Solve coding challenges on platforms like HackerRank or LeetCode

Review Big Data and Machine Learning Concepts

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Refresh your understanding of Big Data and Machine Learning concepts to strengthen your foundation for this course.

Browse courses on Big Data

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Review online tutorials and articles on Big Data and Machine Learning
Practice solving basic Big Data and Machine Learning problems

SQL Query Practice for Data Analysis

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Sharpen your SQL query writing skills to enhance your data analysis capabilities in BigQuery.

Browse courses on SQL

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Solve SQL query challenges on platforms like HackerRank or LeetCode
Create your own SQL queries based on real-world datasets

Four other activities

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Attend Online Meetups and Webinars

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Connect with professionals in the field and learn about industry trends and best practices by attending online meetups and webinars related to serverless data analysis.

Browse courses on Networking

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Search for meetups and webinars on platforms like Meetup.com or Eventbrite
Participate in discussions and ask questions

Explore Dataflow Processing Pipelines

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Delve into Dataflow tutorials to gain practical experience in building scalable data processing pipelines in the cloud.

Browse courses on Dataflow

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Follow guided tutorials on the Google Cloud Platform documentation
Build and test your own simple Dataflow pipelines

Build a Serverless Data Analysis Project

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Apply your skills by creating a serverless data analysis project that demonstrates your understanding of BigQuery and Dataflow.

Browse courses on Serverless Data Analysis

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Identify a real-world problem that can be solved with serverless data analysis
Design and implement a data pipeline using BigQuery and Dataflow
Deploy and analyze the results of your project

Contribute to Open-Source Serverless Data Analysis Projects

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Expand your knowledge and make a valuable contribution by participating in open-source projects related to serverless data analysis.

Browse courses on Open-Source

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Find open-source projects on platforms like GitHub
Identify areas where you can contribute, such as bug fixes or feature enhancements
Submit your contributions and actively participate in the project community

Career center

Learners who complete Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst designs, executes, and shares insights from data analysis to inform business decisions. Data analysis is a vital part of businesses that use data to make decisions, stay competitive, and improve operations. This course provides a solid foundation in data analysis techniques and tools. It also covers essential concepts like data extraction, transformation, and loading (ETL), data modeling, and data visualization, which are vital for data analysts. Therefore, taking this course can help you build the skills needed to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models, working closely with data scientists and software engineers to develop and deploy machine learning solutions. Machine learning is a subset of artificial intelligence (AI) that gives computers the ability to learn without being explicitly programmed. This course introduces the fundamentals of machine learning, including supervised and unsupervised learning, model selection, and evaluation. It also covers practical aspects of machine learning, such as feature engineering and data preprocessing. By taking this course, you can build a solid foundation in machine learning, which is a valuable skill for Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers design, build, and maintain data pipelines to ensure that data is available, reliable, and secure. They work closely with data analysts, data scientists, and other stakeholders to understand data requirements and develop data solutions. This course provides a comprehensive overview of data engineering, including data integration, data quality, and data governance. It also covers practical aspects of data engineering, such as data warehousing and data lakes. By taking this course, you can build a solid foundation in data engineering, which is a valuable skill for Data Engineers.

See salaries and explore the career path for Data Engineer

Cloud Architect

Cloud Architects design, build, and manage cloud computing solutions. They work closely with businesses to understand their needs and develop cloud solutions that meet those needs. This course provides a comprehensive overview of cloud computing, including cloud infrastructure, cloud services, and cloud security. It also covers practical aspects of cloud computing, such as cloud migration and cloud cost optimization. By taking this course, you can build a solid foundation in cloud computing, which is a valuable skill for Cloud Architects.

See salaries and explore the career path for Cloud Architect

Data Scientist

Data Scientists use data analysis and machine learning to extract insights from data. They work closely with businesses to understand their needs and develop data-driven solutions. This course provides a solid foundation in data analysis and machine learning techniques. It also covers practical aspects of data science, such as data visualization and data communication. By taking this course, you can build a solid foundation in data science, which is a valuable skill for Data Scientists.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software systems. They work closely with businesses to understand their needs and develop software solutions that meet those needs. This course provides a solid foundation in software engineering principles and practices. It also covers practical aspects of software engineering, such as software design, software development, and software testing. By taking this course, you can build a solid foundation in software engineering, which is a valuable skill for Software Engineers.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts work with businesses to understand their needs and develop solutions that meet those needs. They use data analysis and other techniques to identify problems and opportunities, and they develop recommendations for how to solve problems and capitalize on opportunities. This course provides a solid foundation in business analysis techniques and tools. It also covers practical aspects of business analysis, such as stakeholder management and project management. By taking this course, you can build a solid foundation in business analysis, which is a valuable skill for Business Analysts.

See salaries and explore the career path for Business Analyst

Database Administrator

Database Administrators design, build, and maintain databases. They work closely with businesses to understand their data needs and develop database solutions that meet those needs. This course provides a solid foundation in database design and administration. It also covers practical aspects of database administration, such as database security and database optimization. By taking this course, you can build a solid foundation in database administration, which is a valuable skill for Database Administrators.

See salaries and explore the career path for Database Administrator

Information Security Analyst

Information Security Analysts design, implement, and maintain security measures to protect an organization's information assets. They work closely with businesses to understand their security needs and develop security solutions that meet those needs. This course provides a solid foundation in information security principles and practices. It also covers practical aspects of information security, such as risk management and incident response. By taking this course, you can build a solid foundation in information security, which is a valuable skill for Information Security Analysts.

See salaries and explore the career path for Information Security Analyst

IT Project Manager

IT Project Managers plan, execute, and control IT projects. They work closely with businesses to understand their needs and develop IT solutions that meet those needs. This course provides a solid foundation in IT project management principles and practices. It also covers practical aspects of IT project management, such as project planning, project scheduling, and project budgeting. By taking this course, you can build a solid foundation in IT project management, which is a valuable skill for IT Project Managers.

See salaries and explore the career path for IT Project Manager

Network Engineer

Network Engineers design, build, and maintain computer networks. They work closely with businesses to understand their networking needs and develop network solutions that meet those needs. This course provides a solid foundation in network engineering principles and practices. It also covers practical aspects of network engineering, such as network design, network implementation, and network troubleshooting. By taking this course, you can build a solid foundation in network engineering, which is a valuable skill for Network Engineers.

See salaries and explore the career path for Network Engineer

Systems Analyst

Systems Analysts work with businesses to understand their needs and develop systems solutions that meet those needs. They use data analysis and other techniques to identify problems and opportunities, and they develop recommendations for how to solve problems and capitalize on opportunities. This course provides a solid foundation in systems analysis techniques and tools. It also covers practical aspects of systems analysis, such as stakeholder management and project management. By taking this course, you can build a solid foundation in systems analysis, which is a valuable skill for Systems Analysts.

See salaries and explore the career path for Systems Analyst

Technical Writer

Technical Writers create and maintain technical documentation, such as user manuals, white papers, and training materials. They work closely with technical experts to understand the technical content and develop documentation that is clear and easy to understand. This course provides a solid foundation in technical writing principles and practices. It also covers practical aspects of technical writing, such as document planning, document development, and document review. By taking this course, you can build a solid foundation in technical writing, which is a valuable skill for Technical Writers.

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User Experience Designer

User Experience Designers design and evaluate user interfaces for websites, apps, and other digital products. They work closely with businesses to understand their user needs and develop user interfaces that are user-friendly and effective. This course provides a solid foundation in user experience design principles and practices. It also covers practical aspects of user experience design, such as user research, user testing, and user interface prototyping. By taking this course, you can build a solid foundation in user experience design, which is a valuable skill for User Experience Designers.

See salaries and explore the career path for User Experience Designer

Web Developer

Web Developers design, develop, and maintain websites. They work closely with businesses to understand their website needs and develop websites that meet those needs. This course provides a solid foundation in web development principles and practices. It also covers practical aspects of web development, such as web design, web development, and web testing. By taking this course, you can build a solid foundation in web development, which is a valuable skill for Web Developers.

See salaries and explore the career path for Web Developer

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 Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro.

Aprende Machine Learning con Scikit-Learn, Keras y...

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Um guia prático para construir e treinar modelos de aprendizado de máquina em grande escala. Embora não seja específico para BigQuery ou Dataflow, este livro forneceria uma base valiosa para o conteúdo de aprendizado de máquina do curso.

(Español) Aprende Machine Learning con Scikit-Learn, Keras y...

Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Google bigquery and dataflow

Activities

Career center

Reading list

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