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Google Cloud Training
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.
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OpenCourser.com/course/5apo2o/bigquery
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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 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.
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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 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.
Read more
Traffic lights
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what should give you pause and
possible dealbreakers
Appropriate for those with some SQL proficiency but minimal experience with cloud storage
Instructors are from Google Cloud Training, ensuring up-to-date and reliable information
Provides a strong foundation for using BigQuery for Teradata users
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Reviews summary
Bigquery bridge for teradata experts
According to students, this course is a highly effective bridge for Teradata professionals transitioning to BigQuery. Learners consistently praise its direct comparisons between Teradata and BigQuery concepts, which significantly accelerate the learning curve. The hands-on labs are noted as being practical and invaluable for solidifying understanding. While the course provides a solid foundational understanding of BigQuery, some experienced professionals found it introductory, wishing for more in-depth coverage of advanced topics or real-world case studies. It sets a strong base but may require supplemental study for mastery.
Excellent for fundamentals, but some desire more depth.
"For a 'professional' course, I expected more in-depth examples and perhaps real-world case studies."
"A bit too introductory for an experienced professional. I was hoping for more advanced BigQuery concepts."
"It's a great starting point, though don't expect to be an expert immediately after."
"I felt some advanced optimization techniques could have been covered in more detail."
Explanations are clear and modules are well-structured.
"The explanations on slots, data definition, and IAM were incredibly clear."
"The modules are well-structured, and the practical labs are invaluable."
"I found the module on schema design and partitioning especially insightful."
Labs are highly practical and solidify understanding.
"The hands-on labs were practical and truly solidified my understanding."
"The practical labs are invaluable."
"The hands-on exercises really helped."
"The course structure and labs are excellent."
Exceptional at mapping BigQuery concepts to Teradata knowledge.
"This course is exactly what I needed to bridge my Teradata knowledge to BigQuery."
"As someone who has worked with Teradata for years, this course made the transition to BigQuery feel seamless."
"The direct comparisons in architecture, data models, and SQL syntax were exceptionally valuable."
"The Teradata-BigQuery mapping was a game-changer for me."
Further independent study may be required for complex scenarios.
"I had to supplement with external documentation for a deeper dive into certain topics, especially cost optimization."
"It's a great starting point, though don't expect to be an expert immediately after. Requires follow-up study for advanced scenarios."
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:
Review SQL
Show steps
Review fundamental SQL concepts to strengthen your foundation for working with data in BigQuery.
Browse courses on
SQL
Show steps
-
Review basic SQL syntax and commands.
-
Practice writing queries to select, filter, and aggregate data.
-
Test your understanding by solving SQL challenges.
Review Teradata Concepts
Show steps
Review fundamental Teradata concepts to enhance your understanding of the similarities and differences between Teradata and BigQuery.
Browse courses on
Teradata
Show steps
-
Review documentation and materials on Teradata architecture and resource provisioning.
-
Refresh your knowledge of Teradata's data definition model and primary data types.
-
Explore Teradata's security and access management features.
Follow BigQuery Tutorials
Show steps
Explore BigQuery documentation and hands-on tutorials to gain practical experience with the platform.
Show steps
-
Locate and review official BigQuery tutorials.
-
Follow step-by-step instructions to complete guided exercises.
-
Experiment with different BigQuery features.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice SQL Queries in BigQuery
Show steps
Execute SQL queries on sample datasets in BigQuery to reinforce your understanding of SQL syntax and query optimization techniques.
Show steps
-
Create a BigQuery account and dataset
-
Import the sample dataset
-
Write SQL queries to perform data analysis and manipulation
-
Review query results and optimize query performance
Practice SQL Queries
Show steps
Sharpen your SQL skills by solving a series of challenging queries related to BigQuery fundamentals.
Show steps
-
Access online SQL query practice platforms.
-
Attempt a variety of query challenges.
-
Analyze your results and identify areas for improvement.
Design and Implement a BigQuery Data Pipeline
Show steps
Develop a project that automates the ingestion, processing, and analysis of data in BigQuery to enhance your practical skills in designing and implementing data pipelines.
Browse courses on
Data Ingestion
Show steps
-
Define the data sources and data format
-
Design the data pipeline architecture
-
Implement the data ingestion and processing logic
-
Configure the data pipeline and schedule execution
-
Monitor the pipeline and optimize performance
Review SQL
Show steps
Review fundamental SQL concepts to strengthen your foundation for working with data in BigQuery.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review basic SQL syntax and commands.
- Practice writing queries to select, filter, and aggregate data.
- Test your understanding by solving SQL challenges.
Review Teradata Concepts
Show steps
Review fundamental Teradata concepts to enhance your understanding of the similarities and differences between Teradata and BigQuery.
Browse courses on
Teradata
Show steps
Show steps
Show steps
- Review documentation and materials on Teradata architecture and resource provisioning.
- Refresh your knowledge of Teradata's data definition model and primary data types.
- Explore Teradata's security and access management features.
Follow BigQuery Tutorials
Show steps
Explore BigQuery documentation and hands-on tutorials to gain practical experience with the platform.
Show steps
Show steps
Show steps
- Locate and review official BigQuery tutorials.
- Follow step-by-step instructions to complete guided exercises.
- Experiment with different BigQuery features.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice SQL Queries in BigQuery
Show steps
Execute SQL queries on sample datasets in BigQuery to reinforce your understanding of SQL syntax and query optimization techniques.
Show steps
Show steps
Show steps
- Create a BigQuery account and dataset
- Import the sample dataset
- Write SQL queries to perform data analysis and manipulation
- Review query results and optimize query performance
Practice SQL Queries
Show steps
Sharpen your SQL skills by solving a series of challenging queries related to BigQuery fundamentals.
Show steps
Show steps
Show steps
- Access online SQL query practice platforms.
- Attempt a variety of query challenges.
- Analyze your results and identify areas for improvement.
Design and Implement a BigQuery Data Pipeline
Show steps
Develop a project that automates the ingestion, processing, and analysis of data in BigQuery to enhance your practical skills in designing and implementing data pipelines.
Browse courses on
Data Ingestion
Show steps
Show steps
Show steps
- Define the data sources and data format
- Design the data pipeline architecture
- Implement the data ingestion and processing logic
- Configure the data pipeline and schedule execution
- Monitor the pipeline and optimize performance
Career center
Learners who complete BigQuery Fundamentals for Teradata Professionals will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the systems that store and process data. They work with data scientists and other stakeholders to understand the data needs of the organization. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Data Engineers. The course will help you to build a foundation in the skills needed to design and manage BigQuery data warehouses.
Data Architect
Data Architect
Data Architects design and manage the data architecture of an organization. They work with stakeholders to understand the data needs of the organization and to develop a data architecture that meets those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Data Architects. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Data Architect.
Cloud Data Engineer
Cloud Data Engineer
Cloud Data Engineers design and build data pipelines in the cloud. They work with businesses to understand their data needs and to develop data pipelines that meet those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Cloud Data Engineers. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Cloud Data Engineer.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and build data warehouses. They work with businesses to understand their data needs and to develop data warehouses that meet those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Data Warehouse Architects. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Data Warehouse Architect.
Data Scientist
Data Scientist
Data Scientists use their skills in statistics, machine learning, and data analysis to extract insights from data. They work with businesses to identify opportunities and solve problems. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Data Scientists. The course's coverage of BigQuery's SQL dialect and query optimization will help you to build a foundation in the skills needed to succeed as a Data Scientist.
Big Data Architect
Big Data Architect
Big Data Architects design and manage big data systems. They work with businesses to understand their data needs and to develop big data systems that meet those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Big Data Architects. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Big Data Architect.
Big Data Engineer
Big Data Engineer
Big Data Engineers design and build big data pipelines. They work with businesses to understand their data needs and to develop big data pipelines that meet those needs. BigQuery Fundamentals for Teradata Professionals is a great fit for aspiring Big Data Engineers. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Big Data Engineer.
Product Manager
Product Manager
Product Managers lead the development of new products and features. They work with stakeholders to understand the needs of the market and to develop products that meet those needs. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Product Managers. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Product Manager.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They work with businesses to identify opportunities to use machine learning to solve problems. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Machine Learning Engineers. The course's coverage of BigQuery's SQL dialect and query optimization will help you to build a foundation in the skills needed to succeed as a Machine Learning Engineer.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They work with stakeholders to identify the data needs of the organization and to develop reports and dashboards that visualize data and provide insights. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Business Intelligence Analysts. The course's coverage of BigQuery architecture, data ingestion, and query optimization will help you to build a foundation in the skills needed to succeed as a Business Intelligence Analyst.
Database Administrator
Database Administrator
Database Administrators are responsible for the day-to-day operation and maintenance of databases. They work with database users to ensure that the database is running smoothly and that data is secure. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Database Administrators. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Database Administrator.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing solutions. They work with businesses to understand their business needs and to develop cloud solutions that meet those needs. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Cloud Architects. The course's coverage of BigQuery architecture and resource provisioning will help you to build a foundation in the skills needed to succeed as a Cloud Architect.
Data Analyst
Data Analyst
Data Analysts are experts in collecting, cleaning, and analyzing data. They use their skills to identify trends and patterns, and to make recommendations based on their findings. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Data Analysts. The course's coverage of BigQuery architecture, data ingestion, and query optimization will help you to build a foundation in the skills needed to succeed as a Data Analyst.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with businesses to identify opportunities to use software to solve problems. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Software Engineers. The course's coverage of BigQuery's SQL dialect and query optimization will help you to build a foundation in the skills needed to succeed as a Software Engineer.
Data Science Manager
Data Science Manager
Data Science Managers lead teams of data scientists. They work with stakeholders to identify the data needs of the organization and to develop a data science strategy. BigQuery Fundamentals for Teradata Professionals may be useful for aspiring Data Science Managers. The course's coverage of BigQuery architecture, resource provisioning, and data ingestion will help you to build a foundation in the skills needed to succeed as a Data Science Manager.
For more career information including salaries, visit:
OpenCourser.com/course/5apo2o/bigquery
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
BigQuery Fundamentals for Teradata Professionals.
Save
Provides a good overview of the design principles for data-intensive applications. It can be used as a reference for both beginners and experienced users.
Provides a solid foundation in data warehousing concepts and can be used as a reference for both Teradata and BigQuery.
Save
Provides a good overview of machine learning concepts and techniques for big data. It can be used as a reference for both beginners and experienced users.
Provides a good overview of Spark and other big data processing tools. It can be used as a reference for both beginners and experienced users.
Provides a good overview of Hadoop and other big data processing tools. It can be used as a reference for both beginners and experienced users.
Provides a comprehensive overview of Spark. It covers a wide range of topics, including Spark architecture, Spark data storage, and Spark data processing. It is an excellent resource for anyone who wants to learn more about Spark.
Save
Provides a comprehensive overview of deep learning. It covers a wide range of topics, including deep learning algorithms, deep learning models, and deep learning applications. It is an excellent resource for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of data science. It covers a wide range of topics, including data science methods, data science tools, and data science applications. It is an excellent resource for anyone who wants to learn more about data science.
Provides a comprehensive overview of artificial intelligence. It covers a wide range of topics, including artificial intelligence algorithms, artificial intelligence models, and artificial intelligence applications. It is an excellent resource for anyone who wants to learn more about artificial intelligence.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5apo2o/bigquery
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