This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Teradata 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 Teradata, you also learn about similarities and differences between Teradata and BigQuery to help you get started with data warehouses in BigQuery.
BigQuery Fundamentals for Teradata Professionals
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Describe BigQuery’s architecture, resource provisioning, and data definition model.
Create, secure, and share BigQuery data assets using best practices.
Implement common patterns and best practices for designing schemas, ingesting data, and querying data in BigQuery.
Compare and contrast the differences and commonalities between Teradata and BigQuery.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
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 Teradata, this module also provides a high-level overview of the similarities and differences between Teradata and BigQuery architecture and resource provisioning to help you get started with BigQuery.
What's included
1 video1 reading1 assignment1 app item
This module summarizes the key details of BigQuery’s resource hierarchy and data definition model, including how to create datasets and tables in BigQuery. Drawing upon your knowledge of Teradata, this module also provides a high-level overview of the similarities and differences between the Teradata and BigQuery resource hierarchies and primary data types to help you start working with data in BigQuery.
What's included
1 reading1 assignment
This module summarizes the key details of the Google Cloud Identity and Access Management (IAM) model, including how roles and permissions are applied to datasets and tables in BigQuery. Drawing upon your knowledge of Teradata, this module also provides a high-level overview of the similarities and differences in roles and permissions between Teradata and BigQuery to help you start securing and sharing your data in BigQuery.
What's included
1 reading1 assignment1 app item
This module summarizes the primary options and best practices for ingesting data into BigQuery, including batch data loading, streaming ingestion, and queries to external data sources. Drawing upon your knowledge of Teradata, this module also provides a high-level overview of the similarities and differences in data ingestion options between Teradata and BigQuery to help you start reading and loading your data into BigQuery.
What's included
1 reading1 assignment
This module summarizes common patterns and best practices for designing and optimizing table schemas in BigQuery, including the use of nested and repeated fields, partitioning, and clustering. Drawing upon your knowledge of Teradata, this module also provides a high-level overview of the similarities and differences in schema usage and design between Teradata and BigQuery to help you start structuring and optimizing your data in BigQuery.
What's included
1 reading1 assignment1 app item
This module summarizes the key features and operations of the Google Standard SQL dialect used in BigQuery and best practices for optimizing query performance and controlling costs in BigQuery. Drawing upon your knowledge of Teradata, this module also provides a high-level overview of the similarities and differences in the SQL dialects and features between Teradata and BigQuery to help you start running and optimizing queries in BigQuery.
What's included
1 reading1 assignment1 app item
Instructor
Offered by
Explore more from Cloud Computing
Google Cloud
Google Cloud
Google Cloud
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
New to Cloud Computing? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
More questions
Financial aid available,