Sorry, this page is no longer available

We may earn an affiliate commission when you visit our partners.

BigQuery Fundamentals for Redshift Professionals

Google Cloud Training

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Redshift and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Redshift, you also learn about similarities and differences between Redshift and BigQuery to help you get started with data warehouses in BigQuery.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Here's a deal for you

Save money when you learn with a deal that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until August 30

Google AI App Builder

Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind

What's inside

Syllabus

BigQuery Architecture and Resource Provisioning

This introductory module summarizes the key details of BigQuery architecture and resource provisioning including how BigQuery utilizes slots to execute SQL queries and workload management in BigQuery. Drawing upon your knowledge of Redshift, this module also provides a high-level overview of the similarities and differences between Redshift and BigQuery architecture and resource provisioning to help you get started with BigQuery.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers the basics of BigQuery for those who are familiar with SQL-based cloud data warehouses in Redshift

Teaches the basics of BigQuery, from provisioning resources to optimizing query performance

Features hands-on labs to enhance the learning experience

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Bigquery transition for redshift users

According to students, this course provides a solid and practical foundation for Redshift professionals transitioning to BigQuery. Learners highlight its direct comparisons between Redshift and BigQuery as particularly helpful, making the learning curve smoother. The course content, including interactive lectures and hands-on labs, is praised for its clarity and practical application, covering essential topics like resource provisioning, data ingestion, and query optimization. While largely positive, some learners suggest that a deeper dive into advanced optimization techniques or complex real-world scenarios could further enhance the offering, as it primarily focuses on fundamental concepts. Overall, it is considered an excellent starting point for the target audience.

Content is tailored, assuming prior Redshift familiarity.

"The course assumes you're already quite familiar with Redshift, which is perfect for its target audience."

"For someone completely new to data warehousing or Redshift, some of the comparative sections might be less impactful."

"I appreciated that it leveraged my existing Redshift background rather than starting from scratch with data warehousing concepts."

Primarily covers foundational concepts, less on advanced topics.

"While excellent for an introduction, I felt it could benefit from more in-depth coverage of advanced optimization or complex use cases."

"This is definitely a 'fundamentals' course; don't expect deep dives into every single BigQuery feature or niche scenario."

"It was a great starting point, but I'll need to seek additional resources for more complex real-world BigQuery challenges."

Provides a comprehensive and clear overview of BigQuery basics.

"This course offers a well-structured and clear introduction to all the essential aspects of BigQuery for beginners."

"It laid out all the necessary fundamentals, from architecture to data ingestion, in a very understandable way."

"I gained a solid grasp of BigQuery's core features and best practices for schema design and query performance."

Labs offer essential practical experience and reinforce learning.

"The hands-on labs were crucial for solidifying my understanding of BigQuery fundamentals and how to apply them."

"I found the practical exercises extremely useful for getting comfortable with data provisioning and querying in a real environment."

"The course included valuable practical labs that allowed me to implement what I learned immediately."

Highly effective comparisons smooth the transition.

"The most valuable part was clearly mapping BigQuery concepts to my existing Redshift knowledge, making it easy to grasp."

"I truly appreciated the direct comparisons provided in each module; it significantly accelerated my understanding of BigQuery."

"As a Redshift user, I found the explanations of similarities and differences invaluable for transitioning without confusion."

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 BigQuery Fundamentals for Redshift Professionals with these activities:

Organize and review course materials

Show steps

Create a comprehensive repository of course materials for easy reference and review.

Show steps

Download and organize lecture slides
Take detailed notes during live sessions
Bookmark relevant resources and articles
Create a dedicated folder or notebook for all course materials

Review SQL querying syntax

Show steps

Ensure a solid foundation in SQL querying syntax before beginning this course on BigQuery.

Show steps

Review online tutorials on SQL querying fundamentals
Practice writing basic SQL queries

Write a summary of BigQuery architecture

Show steps

Solidify your understanding of BigQuery architecture by creating a written summary of key concepts.

Browse courses on BigQuery Architecture

Show steps

Review the course module on BigQuery architecture
Identify the main components and their functions
Describe how resource provisioning works in BigQuery
Summarize the key differences between BigQuery and Redshift architecture

Four other activities

Expand to see all activities and additional details

Show all seven activities

Complete interactive BigQuery tutorials

Show steps

Gain hands-on experience with BigQuery's interface and SQL dialect through guided tutorials.

Show steps

Navigate to the BigQuery documentation page
Locate and select the 'Tutorials' section
Choose a tutorial relevant to your skill level
Follow the tutorial steps and complete the exercises

Solve BigQuery SQL practice problems

Show steps

Enhance your proficiency in BigQuery SQL by solving practice problems.

Browse courses on Query Optimization

Show steps

Find online resources or platforms that provide BigQuery SQL practice problems
Select problems that align with your skill level and learning objectives
Attempt to solve the problems on your own
Review solutions and identify areas for improvement

Read 'BigQuery: The Definitive Guide' by Valliappa Lakshmanan

Show steps

Gain a comprehensive understanding of BigQuery's capabilities and best practices by reading an authoritative book on the subject.

View Data Governance: The Definitive Guide on Amazon

Show steps

Purchase or borrow the book
Read through the chapters relevant to your learning objectives
Take notes and highlight key concepts

Develop a data analysis project

Show steps

Apply your BigQuery knowledge by designing and executing a data analysis project.

Browse courses on Data Exploration

Show steps

Identify a dataset of interest
Formulate a research question or hypothesis
Design a data analysis plan
Execute queries and analyze results
Visualize and present your findings

Career center

Learners who complete BigQuery Fundamentals for Redshift Professionals will develop knowledge and skills that may be useful to these careers:

Cloud Data Engineer

Cloud Data Engineers design, build, and manage data pipelines and data warehouses in the cloud. They use a variety of cloud computing technologies, including BigQuery, Google Cloud Storage, and Google Kubernetes Engine, to build scalable and reliable data systems. This course provides a comprehensive overview of BigQuery, including its architecture, data model, and SQL dialect. This knowledge is essential for success as a Cloud Data Engineer.

See salaries and explore the career path for Cloud Data Engineer

Data Architect

Data Architects design and build the company’s data infrastructure, including data warehouses, databases, and pipelines. They ensure that the data is organized and accessible in a way that meets the needs of the business. This course provides a comprehensive overview of data warehousing, including its architecture, data model, and SQL dialect. This knowledge is essential for success as a Data Architect.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators ensure that the company’s databases are up and running, and that the data stored in them is safe and secure. They perform a variety of tasks, including installing and configuring databases, monitoring performance, and backing up data. This course covers topics such as data warehousing, data modeling, and SQL, all of which are essential skills for success as a Database Administrator.

See salaries and explore the career path for Database Administrator

Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. They analyze data to identify trends, patterns, and insights, and then communicate these insights to decision-makers in a clear and concise way. This course provides a foundation in data warehousing, data modeling, and SQL, all of which are essential skills for success as a Business Intelligence Analyst.

See salaries and explore the career path for Business Intelligence Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies to build software that meets the needs of users. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Software Engineer.

See salaries and explore the career path for Software Engineer

Risk Analyst

Risk Analysts identify, assess, and mitigate risks to the company’s business. They develop and implement risk management policies and procedures, and they work with business leaders to ensure that the company’s risks are managed effectively. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends, patterns, and insights that can help businesses make better decisions. They use a variety of tools and techniques to extract meaning from data, including SQL, Python, and machine learning algorithms. This course can help aspiring Data Analysts build a foundation in data warehousing, data modeling, and SQL, all of which are essential skills for success in this role.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use data to solve business problems and develop new products and services. They use a variety of statistical and machine learning techniques to analyze data and extract insights. This course provides a foundation in data warehousing, data modeling, and SQL, all of which are essential skills for success as a Data Scientist.

See salaries and explore the career path for Data Scientist

Information Security Analyst

Information Security Analysts protect the company’s data and computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They develop and implement security policies and procedures, and they work with IT staff to ensure that the company’s systems are secure. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as an Information Security Analyst.

See salaries and explore the career path for Information Security Analyst

Compliance Analyst

Compliance Analysts ensure that the company’s business practices are in compliance with all applicable laws and regulations. They develop and implement compliance policies and procedures, and they work with business leaders to ensure that the company’s practices are in compliance. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Compliance Analyst.

See salaries and explore the career path for Compliance Analyst

Enterprise Architect

Enterprise Architects design and manage the company’s technology infrastructure, including hardware, software, and networks. They ensure that the company’s technology investments are aligned with the business goals. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as an Enterprise Architect.

See salaries and explore the career path for Enterprise Architect

Data Governance Specialist

Data Governance Specialists ensure that the company’s data is used in a consistent and ethical manner. They develop and implement data governance policies and procedures, and they work with business leaders to ensure that data is used to support the company’s goals. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Data Governance Specialist.

See salaries and explore the career path for Data Governance Specialist

Privacy Analyst

Privacy Analysts ensure that the company’s data is collected, used, and stored in a compliant manner. They develop and implement privacy policies and procedures, and they work with business leaders to ensure that the company’s data practices are in compliance with all applicable laws and regulations. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Privacy Analyst.

See salaries and explore the career path for Privacy Analyst

Technical Program Manager

Technical Program Managers lead and manage the development and deployment of software applications. They work with engineers, designers, and other stakeholders to ensure that projects are completed on time, within budget, and to the required specifications. This course provides a foundation in data warehousing, data modeling, and SQL, which are all essential skills for success as a Technical Program Manager.

See salaries and explore the career path for Technical Program Manager

Data Engineer

Data Engineers build, deploy and manage the company’s data infrastructure, including data warehouses, databases, and pipelines. They make sure that the data is usable and accessible to the people who need it, ensuring the reliability and accuracy of the data. A course like BigQuery Fundamentals for Redshift Professionals may be useful for those striving for this role, as it can help build a foundation in data warehousing and data management.

See salaries and explore the career path for Data Engineer

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 BigQuery Fundamentals for Redshift Professionals.

The Kimball Group Reader

Save

Provides a solid foundation in data warehousing concepts and best practices, offering valuable insights for designing and optimizing data storage in BigQuery.

The Kimball Group Reader

Paperback

Check price

The Kimball Group Reader

Kindle Edition

Check price

Secret Colors

Save

Offers a comprehensive overview of data-intensive architectures, providing a broader context for understanding the challenges and solutions in BigQuery.

Data Mesh

Save

Introduces the concept of data mesh, offering insights into distributed data management and the potential implications for BigQuery.

Road to Greatness

Save

Provides a practical guide to using data science to transform data into business value. It covers all of the essential topics, including data collection, data analysis, and data visualization.

Road to Greatness

Kindle Edition

Data Science for Business

Save

Provides a guide to using data science for business professionals. It covers all of the essential topics, including data science concepts, data science tools, and data science applications.

Data Science for Business: What You Need to Know...

Paperback

Data Science for Business: What You Need to Know...

Kindle Edition

Cloud as a Service

Save

Introduces the Google Cloud Platform and its data analytics services, providing additional context for understanding BigQuery's role in the broader cloud ecosystem.

Cloud as a Service: Understanding the Service...

Paperback

Cloud as a Service: Understanding the Service...

Kindle Edition