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BigQuery Fundamentals for Teradata Professionals

Google Cloud

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.

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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.

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. After this course, you can continue your BigQuery journey by completing the skill badge quest titled: https://www.cloudskillsboost.google/quests/147">Build and Optimize Data Warehouses with BigQuery

This course is no longer available. Find something similar by browsing:
Cloud Data Warehouses BigQuery SQL Schema Design Data Ingestion Resource Provisioning Hands-on Labs

What's inside

Syllabus

BigQuery Architecture and Resource Provisioning
BigQuery Data Definition Model
BigQuery and Google Cloud IAM
BigQuery Data Ingestion
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Introduces learners to BigQuery, which is a standard for cloud data warehousing
Provides foundational knowledge of BigQuery for learners who have experience in Teradata, which makes it a good fit for those transitioning from Teradata to BigQuery
Taught by Google Cloud, a recognized authority in the field of data warehousing
Offers hands-on labs and interactive materials, which can enhance the learning experience
Builds a solid foundation in data warehousing with BigQuery, strengthening existing knowledge for intermediate learners
Covers similarities and differences between Teradata and BigQuery, aiding in transitioning from Teradata to BigQuery

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

Bigquery fundamentals: for teradata professionals

According to students, this course is a highly effective and well-structured introduction to BigQuery, specifically designed for Teradata professionals. Learners particularly appreciate how the content directly highlights the similarities and differences between BigQuery and Teradata, which makes the transition seamless. The hands-on labs are consistently praised as invaluable and practical, helping to solidify understanding of concepts like query optimization and schema design. While the course excels at laying a strong foundational understanding, some more experienced users expressed a desire for deeper dives into advanced query techniques and complex enterprise migration strategies, noting it can feel too basic for veterans.
Delivers a clear, concise, and well-structured introduction.
"The content was well-structured, easy to follow..."
"The pace was just right, and the explanations of BigQuery architecture were very clear."
"The focus on 'fundamentals' is accurate – it lays a strong foundation. It’s concise and to the point, respecting a professional's time."
Provides invaluable hands-on experience and real-world applicability.
"The hands-on labs were invaluable for getting a real feel for BigQuery, especially for query optimization."
"The practical exercises helped cement my understanding."
"The labs were very practical and directly applicable. I especially appreciated the modules on schema design and query performance."
Expertly bridges the gap for Teradata professionals.
"As a seasoned data professional coming from Teradata, this course was exactly what I needed. ...specifically highlighted the differences and similarities between BigQuery and Teradata."
"Excellent course for Teradata users! The instructor clearly understands the common hurdles Teradata professionals face when moving to BigQuery and addresses them effectively."
"Perfect for bridging the gap from Teradata to BigQuery. The course material is clear, concise, and the labs are practical. It really clarifies the architectural differences."
Some learners seek more advanced topics and complex scenarios.
"I felt some parts could go a bit deeper, especially on advanced query techniques. A few more complex lab scenarios would also be beneficial."
"I expected more practical use cases. ...could have elaborated more on specific migration strategies or complex scenarios that often arise in enterprise environments."
"As a Teradata veteran, I found parts of this course a bit too basic. It's good for absolute beginners to BigQuery, but not as much for those with extensive data warehousing experience looking for deeper insights."

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 Teradata Professionals with these activities:
Explore BigQuery's documentation
Familiarize yourself with the BigQuery platform and its key concepts before starting the course.
Browse courses on Cloud Data Warehouses
Show steps
  • Read the BigQuery documentation for beginners
  • Follow a guided tutorial on using BigQuery
Review Teradata SQL
Reinforce knowledge of SQL as used in Teradata to better prepare for this course's instruction on BigQuery SQL.
Browse courses on SQL
Show steps
  • Review documentation and examples of Teradata SQL syntax
  • Practice writing SQL queries in Teradata
  • Create a small data warehouse in Teradata and practice querying it
Practice writing BigQuery SQL queries
Develop proficiency in writing SQL queries specifically for BigQuery, which is essential for effective data analysis.
Show steps
  • Use the BigQuery console or a query tool to practice writing queries
  • Solve SQL puzzles and challenges specific to BigQuery
  • Create a small dataset in BigQuery and practice querying it
One other activity
Expand to see all activities and additional details
Show all four activities
Build a simple data warehouse in BigQuery
Apply your understanding of BigQuery by creating a small-scale data warehouse, providing hands-on experience with the platform.
Browse courses on Data Warehouses
Show steps
  • Design a simple data schema for your data warehouse
  • Ingest data into BigQuery
  • Create tables, views, and other data structures in BigQuery
  • Query and analyze the data in your data warehouse

Career center

Learners who complete BigQuery Fundamentals for Teradata Professionals will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database Administrators are responsible for the performance, security, and availability of databases. They ensure that data is stored, managed, and backed up effectively. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse. By learning how to provision resources, create and share data assets, ingest data, and optimize query performance, you'll be able to contribute to the management and administration of data infrastructure within your organization.
See salaries and explore the career path for Database Administrator
Data Integration Engineer
Data Integration Engineers design and build data pipelines that integrate data from multiple sources. They ensure that data is consistent, accurate, and timely. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to ingest data from multiple sources, transform and cleanse data, and optimize query performance, you'll be able to design and build robust data integration pipelines.
See salaries and explore the career path for Data Integration Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. They ensure that data is accessible, reliable, and secure. This course covers essential concepts for Data Engineers, including BigQuery architecture and resource provisioning, data ingestion, and schema design and optimization. By gaining a solid understanding of these topics, you'll be able to contribute to the development and maintenance of robust data infrastructure within your organization.
See salaries and explore the career path for Data Engineer
Data Warehouse Engineer
Data Warehouse Engineers design and build data warehouses. They work closely with stakeholders to understand their needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to design and build data warehouses, manage data access and security, and optimize query performance, you'll be able to contribute to the development and maintenance of robust data warehouses within your organization.
See salaries and explore the career path for Data Warehouse Engineer
Data Analyst
Data Analysts play a key role in translating raw data into actionable insights for decision-making. With the rise of big data, Data Analysts are in high demand across various industries. This course provides a solid foundation in BigQuery, a powerful cloud-based data warehouse from Google. By learning how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery, you'll be well-equipped to contribute to data-driven decision-making in your organization.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends, patterns, and insights that inform business decisions. They work closely with stakeholders to understand their needs and develop data-driven solutions. This course provides a strong foundation in BigQuery, a powerful tool for data exploration and analysis. By learning how to create and share data assets, ingest data, and optimize query performance, you'll be able to effectively extract insights from large datasets and communicate them to stakeholders.
See salaries and explore the career path for Business Intelligence Analyst
Data Architect
Data Architects design and manage data architectures. They ensure that data is organized, reliable, and accessible to meet the needs of the organization. This course provides a solid foundation in BigQuery, a scalable and cost-effective data warehouse. By learning how to create and share data assets, ingest data, and optimize query performance, you'll be able to contribute to the design and management of data architectures within your organization.
See salaries and explore the career path for Data Architect
Big Data Engineer
Big Data Engineers design and build systems for managing and processing large datasets. They work closely with stakeholders to understand their needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to ingest, process, and analyze large datasets in BigQuery, you'll be able to design and build robust Big Data solutions effectively.
See salaries and explore the career path for Big Data Engineer
Cloud Architect
Cloud Architects design and manage cloud computing solutions. They ensure that cloud infrastructure meets the needs of the organization. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to provision resources, create and share data assets, ingest data, and optimize query performance, you'll be able to design and manage cloud-based data solutions effectively.
See salaries and explore the career path for Cloud Architect
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure that data is managed and used in a consistent and ethical manner. They work closely with stakeholders to understand their data needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to manage data access and security, monitor data usage, and enforce data governance policies, you'll be able to contribute to the development and implementation of data governance frameworks within your organization.
See salaries and explore the career path for Data Governance Analyst
Data Scientist
Data Scientists use advanced statistical and machine learning techniques to extract insights from data. They develop and deploy predictive models to solve business problems. This course provides a solid foundation in BigQuery, a scalable and cost-effective platform for data science workloads. By learning how to ingest, process, and analyze large datasets in BigQuery, you'll be able to build and deploy machine learning models effectively.
See salaries and explore the career path for Data Scientist
Data Visualization Analyst
Data Visualization Analysts use data to create visual representations that communicate insights and trends. They work closely with stakeholders to understand their needs and develop visualizations that meet those needs. This course provides a solid foundation in BigQuery, a fully managed, serverless data warehouse from Google Cloud. By learning how to analyze data, create visualizations, and share insights, you'll be able to effectively communicate data-driven insights to stakeholders.
See salaries and explore the career path for Data Visualization Analyst
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. They work closely with stakeholders to understand their needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a scalable and cost-effective platform for data storage and analysis. By learning how to ingest, process, and analyze large datasets in BigQuery, you'll be able to develop and deploy machine learning models effectively.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work closely with stakeholders to understand their needs and develop solutions that meet those needs. This course provides a solid foundation in BigQuery, a scalable and cost-effective platform for data storage and analysis. By learning how to ingest, process, and analyze large datasets in BigQuery, you'll be able to develop data-driven applications effectively.
See salaries and explore the career path for Software Engineer

Reading list

We've selected three 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 Teradata Professionals.
Cover image
Data Science on the Google Cloud Platform
Save
Provides a comprehensive overview of BigQuery, including its architecture, data model, and query capabilities. It valuable resource for anyone who wants to learn more about BigQuery and how to use it effectively.
Data Science on the Google Cloud Platform:...
Paperback
$$
Data Science on the Google Cloud Platform
Kindle Edition
$$$
Cover image
Deciphering Data Architectures
Save
"BigQuery for Data Analysts" valuable resource for data analysts who want to learn more about using BigQuery for data analysis and reporting.
Deciphering Data Architectures: Choosing Between a...
Paperback
$$$
Deciphering Data Architectures
Kindle Edition
$$
Cover image
Database Systems: The Complete Book
Save
Provides a comprehensive foundation in database systems. May be helpful for attendees with limited knowledge of database concepts, offering a solid theoretical background.
Database Systems: The Complete Book
Kindle Edition
$$$
Database Systems The Complete Book
Paperback
$$
Database Systems: The Complete Book
Hardcover
$$$$
Goal Student Access Code Card for Database Systems:...
Printed Access Code
$$

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Course image
Time
1 hours
Level
Introductory
Via
Pluralsight
Instructor
Google Cloud
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Introduces learners to BigQuery, which is a standard for cloud data warehousing
Provides foundational knowledge of BigQuery for learners who have experience in Teradata, which makes it a good fit for those transitioning from Teradata to BigQuery
Taught by Google Cloud, a recognized authority in the field of data warehousing
Offers hands-on labs and interactive materials, which can enhance the learning experience
Builds a solid foundation in data warehousing with BigQuery, strengthening existing knowledge for intermediate learners
Covers similarities and differences between Teradata and BigQuery, aiding in transitioning from Teradata to BigQuery
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