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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/quhzht/using
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What's inside
Syllabus
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Teaches learners how to query public tables and load sample data into BigQuery
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Reviews summary
Foundational bigquery console lab
According to learners, this course is a highly practical and foundational self-paced lab for anyone new to BigQuery in the Google Cloud Console. Students consistently praise its super clear and easy-to-follow instructions and the seamless experience of the lab environment, making it an excellent starting point for hands-on querying and data loading. While many find it perfect for beginners, some users with prior SQL knowledge note it only scratches the surface and offers minimal deeper explanations, focusing purely on fundamental console operations. Overall, it serves as a solid introductory overview.
Offers valuable direct practice within the Google Cloud Console.
"I appreciated how it walked me through querying public datasets and loading my own data."
"Excellent hands-on session. I gained practical experience querying and loading data directly in the GCP console."
"The lab is practical and gives you a feel for the console. It provided a solid initial overview."
An ideal starting point for those new to BigQuery and GCP.
"Good introductory lab. It covers the basics of BigQuery in the console effectively... for true beginners, it's perfect."
"Perfect for getting hands-on with BigQuery quickly... Highly recommend for anyone just starting their BigQuery journey."
"The lab is well-structured and provides a clear introduction to BigQuery... It's a foundational course."
Provides exceptionally clear, step-by-step instructions.
"This lab is fantastic... The instructions are super clear and easy to follow, making the hands-on experience very smooth."
"The steps were well-explained, and the console access was seamless."
"Very helpful for beginners! The step-by-step guide is incredibly useful. I had no trouble completing the exercises."
Focuses on 'how-to' rather than 'why' certain actions are performed.
"Found this lab a bit too simple, almost like just following a recipe without understanding why."
"It's hands-on, yes, but the explanations of 'why' certain things are done are minimal. Good for copy-pastin, not so much for deep learning."
Primarily focuses on fundamentals, not advanced BigQuery features.
"It's okay, but really just scratches the surface. I was hoping for more advanced queries or some intro to scripting..."
"I felt it was a bit too basic for my existing knowledge of SQL... otherwise, it's a bit too simple."
"It's concise... but it does mean it lacks deeper dives into more complex BigQuery features or performance tuning."
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'
Show steps
Gain a comprehensive understanding of big data concepts and learn about architectures and technologies used in BigQuery
View
Big Data: Principles and best practices of...
on Amazon
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
Show steps
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
Show steps
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
Expand to see all activities and additional details
Show all six activities
Build a Data Visualization Dashboard
Show steps
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
Show steps
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
Show steps
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
Study 'Big Data: Principles and Best Practices of Scalable Real-Time Data Systems'
Show steps
Gain a comprehensive understanding of big data concepts and learn about architectures and technologies used in BigQuery
View
Big Data: Principles and best practices of...
on Amazon
Show steps
Show steps
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
Show steps
Review basic SQL concepts and syntax to enhance your ability to write effective queries in BigQuery
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review SQL tutorials or online courses
- Practice writing simple SQL queries
- Test your understanding by solving SQL puzzles
Practice Queries
Show steps
Practice writing queries in BigQuery to reinforce your understanding of the syntax and operations
Browse courses on
SQL
Show steps
Show steps
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
Expand to see all activities and additional details
Show all six activities
Build a Data Visualization Dashboard
Show steps
Create a dashboard that visualizes data from BigQuery to gain insights and identify trends
Browse courses on
Data Visualization
Show steps
Show steps
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
Show steps
Design a data model for a specific use case, optimizing data storage and retrieval performance in BigQuery
Browse courses on
Data Modeling
Show steps
Show steps
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
Show steps
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
Show steps
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:
Data Analyst
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.
Business Analyst
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 Scientist
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.
Data Engineer
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.
Database Administrator
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.
Software Engineer
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.
Systems Analyst
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.
Quantitative Analyst
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.
Market Researcher
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.
Product Manager
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.
Project Manager
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.
Financial Analyst
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.
Actuary
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.
Data Architect
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.
Business Intelligence Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/quhzht/using
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.
Serves as a comprehensive reference for BigQuery, valuable for both beginners and experienced users.
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.
While not directly focused on BigQuery, offers a comprehensive understanding of Hadoop, which is valuable background knowledge for big data analytics.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/quhzht/using
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