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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

This lab shows you how to query public tables and load sample data into BigQuery using the GCP Console. Watch the following short video Get Meaningful Insights with Google BigQuery.

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What's inside

Syllabus

Using BigQuery in the Google Cloud Console

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches learners how to query public tables and load sample data into BigQuery

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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 Using BigQuery in the Google Cloud Console with these activities:
Study 'Big Data: Principles and Best Practices of Scalable Real-Time Data Systems'
Gain a comprehensive understanding of big data concepts and learn about architectures and technologies used in BigQuery
Show steps
  • Read the book thoroughly
  • Take notes and highlight key concepts
  • Summarize each chapter in your own words
  • Discuss the book's ideas with classmates or peers
Refresh Your SQL Knowledge
Review basic SQL concepts and syntax to enhance your ability to write effective queries in BigQuery
Browse courses on SQL
Show steps
  • Review SQL tutorials or online courses
  • Practice writing simple SQL queries
  • Test your understanding by solving SQL puzzles
Practice Queries
Practice writing queries in BigQuery to reinforce your understanding of the syntax and operations
Browse courses on SQL
Show steps
  • Create a new BigQuery dataset
  • Load sample data into the dataset
  • Write a query to select specific columns from a table
  • Write a query to filter data based on specific criteria
  • Write a query to group data and perform aggregations
Three other activities
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Show all six activities
Build a Data Visualization Dashboard
Create a dashboard that visualizes data from BigQuery to gain insights and identify trends
Browse courses on Data Visualization
Show steps
  • Choose a dataset and identify the relevant metrics
  • Select appropriate visualization types
  • Design the layout and user interface of the dashboard
  • Implement the dashboard using a data visualization tool
  • Test and iterate on the dashboard to improve its effectiveness
Develop a BigQuery Data Model
Design a data model for a specific use case, optimizing data storage and retrieval performance in BigQuery
Browse courses on Data Modeling
Show steps
  • Identify the purpose and scope of the data model
  • Analyze the data to determine entities and relationships
  • Create a conceptual data model
  • Translate the conceptual model into a BigQuery schema
  • Validate and test the data model
Contribute to BigQuery Open Source Projects
Contribute to open source projects related to BigQuery to gain practical experience and deepen your understanding of the technology
Browse courses on Apache Arrow
Show steps
  • Identify suitable BigQuery-related open source projects
  • Review the project documentation and codebase
  • Identify areas where you can contribute
  • Propose and implement your contributions
  • Engage with the project community and seek feedback

Career center

Learners who complete Using BigQuery in the Google Cloud Console will develop knowledge and skills that may be useful to these careers:
Project Manager
Project Managers plan, organize, and execute projects. This course may be helpful to Project Managers by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Project Manager.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be helpful to Data Scientists by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Data Scientist.
Business Analyst
Business Analysts work with stakeholders to define and document the requirements for changes to business processes, policies, and information systems. This course may be helpful to Business Analysts by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Business Analyst.
Data Architect
Data Architects design and build data architectures. This course may be helpful to Data Architects by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Data Architect.
Software Engineer
Software Engineers design, develop, test, and maintain software systems. This course may be helpful to Software Engineers by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Software Engineer.
Data Analyst
Data Analysts examine data to reveal patterns and trends in order to assist businesses in making better choices. This course may be helpful to Data Analysts by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Data Analyst.
Database Administrator
Database Administrators are responsible for the performance, security, and availability of databases. This course may be helpful to Database Administrators by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Database Administrator.
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. This course may be helpful to Financial Analysts by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Financial Analyst.
Product Manager
Product Managers are responsible for the development and marketing of products. This course may be helpful to Product Managers by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Product Manager.
Data Engineer
Data Engineers design, build, test, and maintain the infrastructure and tools that enable the collection, storage, and analysis of data. This course may be helpful to Data Engineers by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Data Engineer.
Quantitative Analyst
Quantitative Analysts develop and apply mathematical and statistical models to financial data to make investment decisions. This course may be helpful to Quantitative Analysts by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Quantitative Analyst.
Actuary
Actuaries use mathematical and statistical methods to assess risk and uncertainty. This course may be helpful to Actuaries by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as an Actuary.
Business Intelligence Analyst
Business Intelligence Analysts analyze data to help businesses make better decisions. This course may be helpful to Business Intelligence Analysts by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Business Intelligence Analyst.
Market Researcher
Market Researchers conduct research to understand the needs and wants of customers. This course may be helpful to Market Researchers by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Market Researcher.
Systems Analyst
Systems Analysts analyze and design computer systems and applications. This course may be helpful to Systems Analysts by providing them with experience using BigQuery, a tool that can be used to analyze large datasets. This course can help someone get started in a role as a Systems Analyst.

Reading list

We've selected eight 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 Using BigQuery in the Google Cloud Console.
Comprehensive guide to using Google Cloud Platform for large-scale machine learning projects. It covers topics such as data preparation, model training, and model deployment. It good choice for readers who want to learn how to use Google Cloud Platform for machine learning projects.
Provides an introduction to using Google BigQuery for big data and Google Cloud Platform, covering how to load, extract, transform, and analyze data in BigQuery. It good resource for people who want to learn how to use BigQuery with Google Cloud Platform for their data projects.
Provides an introduction to using Google BigQuery for big data and Hadoop, covering how to load, extract, transform, and analyze data in BigQuery. It good resource for people who want to learn how to use BigQuery with Hadoop for their data projects.
Provides an introduction to using Google BigQuery for data analytics, covering how to load, extract, transform, and analyze data in BigQuery. It good resource for people who want to learn how to use BigQuery for their data analytics projects.
Offers a comprehensive overview of big data and analytics, suitable as supplementary reading for those seeking broader knowledge.
Provides a collection of case studies that show how BigQuery can be used to solve real-world problems. It valuable resource for anyone who wants to learn more about how BigQuery can be used in practice.

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