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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab you explore the basics of Go (golang) by compiling and testing a Go app interactively, deploying it to App Engine, then access data in BigQuery and Firestore.

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What's inside

Syllabus

Use Go Code to Work with Google Cloud Data Sources

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Instructs learners to code in Go, a modern programming language
Empowers learners to construct and evaluate Go applications
Facilitates deployment of applications to Google's App Engine
Enables learners to engage with datasets through BigQuery and Firestore
Provides hands-on, interactive exercises in the Google Cloud console

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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 Use Go Code to Work with Google Cloud Data Sources with these activities:
Maintain a Collection of Go Resources
Curating a collection of Go resources will provide you with a valuable repository of materials for future reference and continued learning.
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  • Create a notebook or online document.
  • Gather links to tutorials, articles, documentation, and other helpful resources related to Go.
  • Organize and categorize the resources for easy access.
Review Core Principles of Cloud Computing
Reviewing core principles of cloud computing will help you reinforce the basics of the technology and better prepare you for the course materials.
Browse courses on Cloud Computing
Show steps
  • Review basic concepts such as virtualization, scalability, and elasticity.
  • Read articles or blog posts on cloud computing fundamentals.
  • Complete online tutorials or exercises on cloud concepts.
Explore Google Cloud Platform Console
Exploring the Google Cloud Platform console will familiarize you with the interface and tools, making it easier to follow along with the course materials.
Browse courses on Google Cloud Platform
Show steps
  • Create a free Google Cloud Platform account.
  • Navigate through the console and explore different sections.
  • Follow tutorials on creating and managing resources in the console.
One other activity
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Compile and Test Go Code
Practicing compiling and testing Go code will reinforce your understanding of the language syntax and structure, preparing you for the coding exercises in the course.
Browse courses on Go
Show steps
  • Set up a development environment for Go.
  • Write simple Go programs to print variables, perform arithmetic operations, and control flow.
  • Use the Go compiler to compile and run your code.
  • Debug and fix any errors that arise.

Career center

Learners who complete Use Go Code to Work with Google Cloud Data Sources will develop knowledge and skills that may be useful to these careers:
Cloud Software Engineer
Cloud Software Engineers are experts in design, coding, deployment, and maintenance of cloud-based applications. They have a deep understanding of cloud computing platforms, including Google Cloud Platform (GCP). This course can help you develop the skills needed to become a Cloud Software Engineer by providing hands-on experience with Go and GCP. You'll learn how to use Go to interact with BigQuery and Firestore, which are two of the most popular data storage services on GCP.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. They work with a variety of data sources, including BigQuery and Firestore. This course can help you develop the skills needed to become a Data Engineer by providing hands-on experience with Go and GCP. You'll learn how to use Go to interact with BigQuery and Firestore, and you'll also learn how to build data pipelines using GCP.
Big Data Engineer
Big Data Engineers are responsible for designing, building, and maintaining big data systems. They work with a variety of big data technologies, including BigQuery and Firestore. This course can help you develop the skills needed to become a Big Data Engineer by providing hands-on experience with Go and GCP. You'll learn how to use Go to interact with BigQuery and Firestore, and you'll also learn how to build big data pipelines using GCP.
Software Engineer
Software Engineers design, develop, test, and maintain software systems. They work with a variety of programming languages and technologies, including Go. This course can help you develop the skills needed to become a Software Engineer by providing hands-on experience with Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to interact with BigQuery and Firestore.
Data Analyst
Data Analysts use data to solve business problems. They work with a variety of data sources, including BigQuery and Firestore. This course can help you develop the skills needed to become a Data Analyst by providing hands-on experience with Go and GCP. You'll learn how to use Go to interact with BigQuery and Firestore, and you'll also learn how to analyze data using SQL and other tools.
Cloud Architect
Cloud Architects design and manage cloud computing systems. They work with a variety of cloud computing platforms, including GCP. This course can help you develop the skills needed to become a Cloud Architect by providing hands-on experience with Go and GCP. You'll learn how to use Go to develop cloud-based applications, and you'll also learn how to manage GCP resources.
Backend Engineer
Backend Engineers are responsible for designing, building, and maintaining the backend of software systems. They work with a variety of programming languages and technologies, including Go. This course can help you develop the skills needed to become a Backend Engineer by providing hands-on experience with Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to build and deploy backend systems.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. They work with a variety of tools and technologies, including Go. This course can help you develop the skills needed to become a DevOps Engineer by providing hands-on experience with Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to build and deploy software systems.
Full Stack Engineer
Full Stack Engineers are responsible for designing, building, and maintaining both the front end and back end of software systems. They work with a variety of programming languages and technologies, including Go. This course can help you develop the skills needed to become a Full Stack Engineer by providing hands-on experience with Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to build and deploy full stack systems.
Site Reliability Engineer
Site Reliability Engineers are responsible for ensuring the reliability and performance of software systems. They work with a variety of tools and technologies, including Go. This course can help you develop the skills needed to become a Site Reliability Engineer by providing hands-on experience with Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to build and deploy reliable software systems.
Software Developer
Software Developers are responsible for designing, building, and maintaining software systems. They work with a variety of programming languages and technologies, including Go. This course can help you develop the skills needed to become a Software Developer by providing hands-on experience with Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to build and deploy software systems.
Data Scientist
Data Scientists use data to solve business problems. They work with a variety of data sources, including BigQuery and Firestore. This course may be helpful for Data Scientists who want to learn more about Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to interact with BigQuery and Firestore.
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. They work with a variety of machine learning tools and technologies, including Go. This course may be helpful for Machine Learning Engineers who want to learn more about Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to build and deploy machine learning models.
Data Architect
Data Architects design and manage data systems. They work with a variety of data technologies, including BigQuery and Firestore. This course may be helpful for Data Architects who want to learn more about Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to interact with BigQuery and Firestore.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with a variety of database technologies, including BigQuery and Firestore. This course may be helpful for Database Administrators who want to learn more about Go. You'll learn the basics of Go syntax, and you'll also learn how to use Go to interact with BigQuery and Firestore.

Reading list

We've selected ten 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 Use Go Code to Work with Google Cloud Data Sources.
An up-to-date reference for Go syntax, data types, concurrency, and more.
Provides a hands-on approach to learning Go through practical examples. It covers a wide range of topics, from basic syntax to advanced concurrency and networking.
Classic text on the Go programming language. It provides a comprehensive overview of the language, including its syntax, semantics, and libraries.
Provides an in-depth treatment of data structures and algorithms in Go. It covers topics such as arrays, linked lists, stacks, queues, trees, and graphs.
Provides a comprehensive overview of BigQuery, Google's cloud-based data warehouse. It covers topics such as data loading, querying, and analysis.
Provides a practical guide to using Go. It covers a wide range of topics, including concurrency, testing, and web development.
Provides a comprehensive overview of the Go programming language, covering topics such as syntax, data types, control flow, functions, methods, and concurrency.

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