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Achieving Advanced Insights with BigQuery

4.7 Filled star Filled star Filled star Filled star Half star
Based on 1,327 ratings
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Google Cloud Training

The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.

We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views.

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The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.

We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views.

After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.

Enroll now

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What's inside

Syllabus

Introduction
Overview of what you will learn in this course
Advanced Functions and Clauses
Deepen your knowledge of SQL on BigQuery by learning about more advanced functions like statistical approximations, analytical window queries, user-defined functions, and WITH clauses.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops advanced SQL skills on BigQuery, including functions, clauses, schemas, and nested data structures, which are core skills for data analysts and engineers
Taught by Google Cloud Training, who are recognized for their work in cloud computing and data analytics
Examines advanced SQL topics and techniques that are highly relevant to data analysis and data engineering tasks
Prepares learners for the Applying Machine Learning to your Data with Google Cloud course, which is a logical next step for learners who want to build on their data analysis skills
Provides hands-on practice through labs and interactive materials, which helps learners reinforce their understanding of advanced SQL on BigQuery
May require learners to have some prior experience with SQL and data analysis, which could be a barrier for beginners

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Reviews summary

Advanced bigquery insights for data professionals

According to learners, this course provides a solid foundation and practical insights for working with BigQuery at an advanced level. Many praise the clear explanations and useful labs, particularly for topics like nested data, window functions, and query optimization. Students find the content highly relevant for real-world applications in data analysis and engineering roles. Some mention that prior SQL knowledge is beneficial, making it best suited for those with some existing database background looking to level up their skills. Overall, it is considered a highly valuable course for professionals.
Best for those with some SQL background.
"While the course is great, having a solid understanding of intermediate SQL before starting is highly recommended."
"Coming into this with basic SQL knowledge made the advanced topics much easier to digest."
"I felt the course assumed a certain level of comfort with SQL already, which was fine for me but something others should be aware of."
Effectively covers syllabus topics.
"The course covered all the promised topics effectively, from advanced functions to nested data and optimization."
"I was impressed by the depth covered on nested/repeated fields and BigQuery's architecture."
"Good introduction to Vertex AI Workbench integration for analysts."
Content is well-explained and easy to follow.
"The instructors did a fantastic job explaining complex topics like nested data structures and query optimization in a clear and understandable manner."
"Lectures were concise and to the point, making it easy to grasp advanced concepts without getting lost in jargon."
"I appreciated the way the course broke down difficult subjects into manageable modules with clear examples."
Labs are effective for practicing concepts.
"The hands-on labs are the highlight of the course. They allowed me to immediately apply what I learned and see the results."
"Labs were well-designed and challenging enough to reinforce the material but not overly frustrating."
"Working through the practical examples in the labs made the theoretical concepts much clearer."
"The practical exercises are essential for understanding the material."
Develop key skills for advanced BigQuery use.
"This course greatly enhanced my understanding of BigQuery's capabilities and how to apply advanced functions effectively."
"I learned practical techniques for optimizing queries and handling complex data structures like nested fields, which are very useful in my job."
"The labs provided hands-on experience that solidified the concepts taught in the lectures, especially around window functions."
"Provides a strong foundation in advanced BigQuery techniques and real-world applications."
Content is applicable to professional roles.
"As a data analyst, I found the content highly relevant to my day-to-day tasks and immediately applicable to my work."
"This course directly addresses skills needed for data engineering and data science roles using Google Cloud."
"The focus on optimization and data access security is crucial for enterprise-level data work."
"Very useful for anyone working professionally with BigQuery."

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 Achieving Advanced Insights with BigQuery with these activities:
Connect with experienced data professionals to seek guidance
Gain valuable insights and support from industry experts
Show steps
  • Identify potential mentors through professional networks or online platforms
  • Reach out to mentors and schedule meetings or calls
  • Prepare questions and be receptive to feedback and guidance
Follow online tutorials on advanced SQL features in BigQuery
Expand your knowledge by exploring additional resources and tutorials
Browse courses on SQL
Show steps
  • Search for online tutorials covering advanced SQL features
  • Follow the tutorials step-by-step and experiment with the provided examples
  • Apply the learned techniques in your own projects or practice exercises
Complete SQL exercises and practice problems
Sharpen your SQL skills through regular practice
Browse courses on SQL
Show steps
  • Identify online platforms or textbooks with SQL exercises
  • Dedicate time to solving problems regularly
  • Review your solutions and identify areas for improvement
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a blog post or article summarizing a course concept
Enhance your understanding by explaining a topic to others in your own words
Browse courses on SQL
Show steps
  • Choose a specific concept or technique covered in the course
  • Research and gather information to deepen your knowledge
  • Write a clear and concise summary in your own words
  • Share your blog post or article with others
Develop a small-scale project using BigQuery
Apply your skills in a practical setting to reinforce your understanding of BigQuery
Browse courses on BigQuery
Show steps
  • Identify a data set of interest and define project goals
  • Design a schema and load data into BigQuery
  • Write SQL queries to explore and analyze data
  • Visualize results and draw insights from the data
  • Document your project and share your findings
Complete code challenges and practice problems on optimization techniques
Enhance your understanding of optimization techniques through hands-on practice
Browse courses on Optimization
Show steps
  • Identify online platforms or resources with optimization challenges
  • Dedicate time to solving problems regularly
  • Review your solutions, compare them with others, and seek feedback

Career center

Learners who complete Achieving Advanced Insights with BigQuery will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use large datasets to help businesses and organizations understand trends and make better decisions. BigQuery's nested and repeated fields -- which are a key part of denormalized data structures -- are often used by Data Scientists to track and manage these large datasets. This course would provide a great foundation for a career as a Data Scientist.
See salaries and explore the career path for Data Scientist
Data Analyst
Data Analysts use data to solve business problems. Advanced SQL skills and an understanding of how to optimize queries for performance are in very high demand for Data Analysts. This course will help you use SQL on BigQuery to analyze data and learn how to optimize queries for better performance, making you a more desirable candidate in the job market.
See salaries and explore the career path for Data Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. This course will help you develop the SQL skills needed to analyze data and understand how to optimize queries for better performance. This will make you a more desirable candidate for Business Analyst roles.
See salaries and explore the career path for Business Analyst
Data Engineer
Data Engineers design and build the systems that store and process data. This course will help you develop the skills needed to design and build data systems that can handle large amounts of data. You will also learn how to optimize queries for performance, which is a key skill for Data Engineers.
See salaries and explore the career path for Data Engineer
Database Administrator
Database Administrators manage and maintain databases. This course will help you develop the skills needed to manage and maintain BigQuery databases. You will also learn how to optimize queries for performance, which is a key skill for Database Administrators.
See salaries and explore the career path for Database Administrator
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will help you develop the skills needed to design and develop software applications that can handle large amounts of data. You will also learn how to optimize queries for performance, which is a key skill for Software Engineers.
See salaries and explore the career path for Software Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. This course will help you develop the skills needed to design and build machine learning models that can handle large amounts of data. You will also learn how to optimize queries for performance, which is a key skill for Machine Learning Engineers.
See salaries and explore the career path for Machine Learning Engineer
Data Architect
Data Architects design and build data architectures. This course will help you develop the skills needed to design and build data architectures that can handle large amounts of data. You will also learn how to optimize queries for performance, which is a key skill for Data Architects.
See salaries and explore the career path for Data Architect
Data Scientist Consultant
Data Scientist Consultants help businesses and organizations use data to make better decisions. This course will help you develop the skills needed to advise businesses and organizations on how to use data to make better decisions. You will also learn how to optimize queries for performance, which is a key skill for Data Scientist Consultants.
See salaries and explore the career path for Data Scientist Consultant
Statistician
Statisticians use data to solve problems. This course will help you develop the skills needed to use data to solve problems. You will also learn how to optimize queries for performance, which is a key skill for Statisticians.
See salaries and explore the career path for Statistician
Market Researcher
Market Researchers use data to understand consumer behavior. This course will help you develop the skills needed to use data to understand consumer behavior. You will also learn how to optimize queries for performance, which is a key skill for Market Researchers.
See salaries and explore the career path for Market Researcher
Financial Analyst
Financial Analysts use data to make investment decisions. This course will help you develop the skills needed to use data to make investment decisions. You will also learn how to optimize queries for performance, which is a key skill for Financial Analysts.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
Operations Research Analysts use data to solve business problems. This course will help you develop the skills needed to use data to solve business problems. You will also learn how to optimize queries for performance, which is a key skill for Operations Research Analysts.
See salaries and explore the career path for Operations Research Analyst
Economist
Economists use data to understand economic trends. This course will help you develop the skills needed to use data to understand economic trends. You will also learn how to optimize queries for performance, which is a key skill for Economists.
See salaries and explore the career path for Economist
Actuary
Actuaries use data to assess risk. This course will help you develop the skills needed to use data to assess risk. You will also learn how to optimize queries for performance, which is a key skill for Actuaries.
See salaries and explore the career path for Actuary

Reading list

We've selected nine 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 Achieving Advanced Insights with BigQuery.
Cover image
Google BigQuery: The Definitive Guide
Save
Comprehensive guide to BigQuery, covering everything from basic concepts to advanced topics such as performance optimization and data governance.
Google BigQuery: The Definitive Guide: Data...
Paperback
$$
Google BigQuery: The Definitive Guide: Data...
Kindle Edition
$$
Cover image
Big Data Analytics
Save
Provides a comprehensive overview of Google BigQuery, including its architecture, data model, and query language. It also covers advanced topics such as data ingestion, transformations, and visualizations.
Big Data Analytics (Chapman & Hall/CRC Data Science...
Paperback
$$
Big Data Analytics: A Guide to Data Science...
Kindle Edition
$$
Cover image
Data Engineering with Google Cloud Platform
Save
Provides a collection of recipes for solving common problems with BigQuery, such as data ingestion, transformation, and analysis.
Data Engineering with Google Cloud Platform -...
Paperback
$$
Data Engineering with Google Cloud Platform: A...
Paperback
$$
Data Engineering with Google Cloud Platform: A...
Kindle Edition
$$
Data Engineering with Google Cloud Platform: A...
Kindle Edition
$$
Cover image
BigQuery for Data Warehousing
Save
Provides a guide to using BigQuery for data warehousing, covering topics such as data modeling, data ingestion, and data analysis.
BigQuery for Data Warehousing: Managed Data...
Paperback
$$
BigQuery for Data Warehousing: Managed Data...
Kindle Edition
$$
Cover image
Google BigQuery: the Definitive Guide
Save
Provides a guide to using BigQuery for business intelligence, covering topics such as data analysis and visualization.
Google BigQuery: The Definitive Guide: Data...
Paperback
$$
Google BigQuery: The Definitive Guide: Data...
Kindle Edition
$$
Cover image
Big Data and Social Media Analytics
Save
Provides a guide to using BigQuery for social media analytics, covering topics such as data analysis and reporting.
Big Data and Social Media Analytics: Trending...
Hardcover
$$$$
Big Data and Social Media Analytics: Trending...
Kindle Edition
$$$$
Cover image
Big Data Analytics for Healthcare
Save
Provides a guide to using BigQuery for healthcare analytics, covering topics such as data analysis and reporting.
Big Data Analytics for Healthcare
Paperback
Check
Big Data Analytics for Healthcare
Kindle Edition
Check
Cover image
Data Analytics: Principles, Tools, and Practices
Save
Provides a guide to using BigQuery for financial analytics, covering topics such as data analysis and reporting.
Data Analytics: Principles, Tools, and Practices: A...
Kindle Edition
$
Cover image
Supply Chain Analytics
Save
Provides a guide to using BigQuery for supply chain analytics, covering topics such as data analysis and reporting.
Supply Chain Analytics: Concepts, Techniques and...
Paperback
$$$
Supply Chain Analytics: Concepts, Techniques and...
Kindle Edition
$$$

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Course image
Rating
4.7 Filled star Filled star Filled star Filled star Half star
Effort
7 hours to complete
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
This course belongs to a collection called From Data to Insights with Google Cloud. It's comprised of five courses:
  1. Géopolitique de l'Europe
  2. Applying Machine Learning to your Data with Google Cloud
  3. Achieving Advanced Insights with BigQuery (viewing)
  4. Creating New BigQuery Datasets and Visualizing Insights
  5. Exploring ​and ​Preparing ​your ​Data with BigQuery
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Develops advanced SQL skills on BigQuery, including functions, clauses, schemas, and nested data structures, which are core skills for data analysts and engineers
Taught by Google Cloud Training, who are recognized for their work in cloud computing and data analytics
Examines advanced SQL topics and techniques that are highly relevant to data analysis and data engineering tasks
Prepares learners for the Applying Machine Learning to your Data with Google Cloud course, which is a logical next step for learners who want to build on their data analysis skills
Provides hands-on practice through labs and interactive materials, which helps learners reinforce their understanding of advanced SQL on BigQuery
May require learners to have some prior experience with SQL and data analysis, which could be a barrier for beginners
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