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Google Cloud
This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery.
Read more
This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery.
Read more
This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery.
This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake 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 Snowflake, you also learn about similarities and differences between Snowflake 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
Register for this course and see more details by visiting:
OpenCourser.com/course/skqo05/bigquery
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What's inside
Syllabus
BigQuery Architecture and Resource Provisioning
BigQuery Data Definition Model
BigQuery and Google Cloud IAM
BigQuery Data Ingestion
Read more
Syllabus
BigQuery Architecture and Resource Provisioning
BigQuery Data Definition Model
BigQuery and Google Cloud IAM
BigQuery Data Ingestion
Read more
BigQuery Schema Design and Optimization
SQL in BigQuery
Course Resources
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Google Cloud experts, who are recognized for their work in this industry standard data warehouse
Develops fundamental skills in data provisioning, data ingestion, and query performance optimization, which are core skills for SQL-based data warehouse professionals working in the cloud
Explores BigQuery architecture, which is standard in cloud computing
Provides hands-on labs and interactive materials which are useful for strengthening foundational skills
Intended for SQL-based data warehouse professionals, which indicates a strong fit for the target audience
Assumes extensive background knowledge in Snowflake and working professionals
Save this course
Save BigQuery Fundamentals for Snowflake Professionals to your list so you can find it easily later:
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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 Snowflake Professionals with these
activities:
Organize Course Materials
Show steps
Enhance your understanding of the course content by organizing and reviewing lecture notes, assignments, and quizzes.
Show steps
-
Create a dedicated folder for course materials
-
Categorize and organize materials by topic
Review Snowflake
Show steps
Recall the fundamentals of Snowflake to ease the transition into BigQuery.
Browse courses on
Snowflake
Show steps
-
Review Snowflake documentation
-
Complete Snowflake tutorials
Explore BigQuery Tutorials
Show steps
Enhance your understanding of BigQuery by following structured tutorials.
Browse courses on
BigQuery
Show steps
-
Complete the Google Cloud BigQuery getting started tutorial
-
Explore additional tutorials on the BigQuery website or YouTube channel
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a BigQuery Dataset
Show steps
Solidify your understanding of BigQuery's data storage structures by creating a dataset.
Browse courses on
BigQuery
Show steps
-
Log in to the BigQuery console
-
Create a new dataset
Attend a BigQuery Workshop
Show steps
Deepen your understanding of BigQuery's capabilities and best practices by attending a workshop led by industry experts.
Browse courses on
BigQuery
Show steps
-
Research upcoming BigQuery workshops
-
Register for a workshop that aligns with your interests
Build a Data Pipeline
Show steps
Apply your BigQuery knowledge by building a comprehensive data pipeline that includes data ingestion, transformation, and analysis.
Browse courses on
BigQuery
Show steps
-
Identify a data source
-
Create a BigQuery table to store the data
-
Write a query to transform the data
-
Analyze the results
Share Your BigQuery Insights
Show steps
Reinforce your knowledge and contribute to the community by creating a blog post, presentation, or video tutorial sharing your insights on BigQuery.
Browse courses on
BigQuery
Show steps
-
Identify a specific aspect of BigQuery that you want to share
-
Choose a format for sharing your insights
-
Develop your content
-
Publish or present your work
Organize Course Materials
Show steps
Enhance your understanding of the course content by organizing and reviewing lecture notes, assignments, and quizzes.
Show steps
Show steps
Show steps
- Create a dedicated folder for course materials
- Categorize and organize materials by topic
Review Snowflake
Show steps
Recall the fundamentals of Snowflake to ease the transition into BigQuery.
Browse courses on
Snowflake
Show steps
Show steps
Show steps
- Review Snowflake documentation
- Complete Snowflake tutorials
Explore BigQuery Tutorials
Show steps
Enhance your understanding of BigQuery by following structured tutorials.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Complete the Google Cloud BigQuery getting started tutorial
- Explore additional tutorials on the BigQuery website or YouTube channel
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a BigQuery Dataset
Show steps
Solidify your understanding of BigQuery's data storage structures by creating a dataset.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Log in to the BigQuery console
- Create a new dataset
Attend a BigQuery Workshop
Show steps
Deepen your understanding of BigQuery's capabilities and best practices by attending a workshop led by industry experts.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Research upcoming BigQuery workshops
- Register for a workshop that aligns with your interests
Build a Data Pipeline
Show steps
Apply your BigQuery knowledge by building a comprehensive data pipeline that includes data ingestion, transformation, and analysis.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Identify a data source
- Create a BigQuery table to store the data
- Write a query to transform the data
- Analyze the results
Share Your BigQuery Insights
Show steps
Reinforce your knowledge and contribute to the community by creating a blog post, presentation, or video tutorial sharing your insights on BigQuery.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Identify a specific aspect of BigQuery that you want to share
- Choose a format for sharing your insights
- Develop your content
- Publish or present your work
Career center
Learners who complete BigQuery Fundamentals for Snowflake Professionals will develop knowledge and skills
that may be useful to these careers:
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design, build, and maintain data warehouses. This course on BigQuery Fundamentals for Snowflake Professionals is a great fit for aspiring Data Warehouse Engineers, as it provides hands-on experience with BigQuery, a powerful cloud-based data warehousing platform. The course covers topics such as data architecture, data modeling, and data warehousing best practices, which are all essential skills for Data Warehouse Engineers.
Big Data Engineer
Big Data Engineer
Big Data Engineers design and manage big data systems and applications. This course on BigQuery Fundamentals for Snowflake Professionals is a great fit for aspiring Big Data Engineers, as it provides hands-on experience with BigQuery, a powerful cloud-based platform for big data management and analysis. The course covers topics such as data architecture, data ingestion, and data processing, which are all essential skills for Big Data Engineers.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers design and build data pipelines to move data between different systems. This course on BigQuery Fundamentals for Snowflake Professionals is a great fit for aspiring Data Integration Engineers, as it provides hands-on experience with BigQuery, a powerful platform for data integration and management. The course covers topics such as data ingestion, data transformation, and data quality management, which are all essential skills for Data Integration Engineers.
Database Administrator
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. This course on BigQuery Fundamentals for Snowflake Professionals is a great fit for aspiring Database Administrators, as it provides hands-on experience with BigQuery, a powerful cloud-based database platform. The course covers topics such as data architecture, resource provisioning, data security, and performance optimization, which are all essential skills for Database Administrators.
Data Engineer
Data Engineer
Data Engineers are responsible for building, maintaining, and optimizing data pipelines. This course on BigQuery Fundamentals for Snowflake Professionals is a great fit for aspiring Data Engineers, as it provides hands-on experience with BigQuery, one of the leading cloud data warehousing platforms. The course covers topics such as data ingestion, schema design, and query optimization, which are all essential skills for Data Engineers.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud-based systems. This course on BigQuery Fundamentals for Snowflake Professionals would be helpful for aspiring Cloud Architects, as it provides a solid foundation in BigQuery, a powerful cloud-based data warehousing platform. The course covers topics such as data architecture, resource provisioning, and performance optimization, which are all essential skills for Cloud Architects.
Data Scientist
Data Scientist
Data Scientists use data to build predictive models and gain insights from data. This course on BigQuery Fundamentals for Snowflake Professionals would be helpful for aspiring Data Scientists, as it provides a solid foundation in BigQuery, a powerful platform for data analysis and exploration. The course covers topics such as data querying, data mining, and machine learning, which are all essential skills for Data Scientists.
Data Analyst
Data Analyst
Data Analysts use data to understand trends, patterns, and insights. This course on BigQuery Fundamentals for Snowflake Professionals would be helpful for aspiring Data Analysts, as it provides a solid foundation in BigQuery, a powerful tool for data analysis and exploration. The course covers topics such as data querying, data visualization, and data mining, which are all essential skills for Data Analysts.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. This course on BigQuery Fundamentals for Snowflake Professionals may be useful to aspiring Business Intelligence Analysts, as it provides an overview of BigQuery, a platform that is widely used for business intelligence and analytics. The course covers topics such as data querying, data visualization, and data mining, which are all essential skills for Business Intelligence Analysts.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course on BigQuery Fundamentals for Snowflake Professionals may be useful to aspiring Machine Learning Engineers, as it provides a solid foundation in BigQuery, a platform that is widely used for data management and analytics. The course covers topics such as data architecture, data ingestion, and data querying, which are all essential knowledge for Machine Learning Engineers.
Data Security Analyst
Data Security Analyst
Data Security Analysts ensure that data is protected from unauthorized access, use, disclosure, disruption, modification, or destruction. This course on BigQuery Fundamentals for Snowflake Professionals may be useful to aspiring Data Security Analysts, as it provides a solid foundation in BigQuery, a platform that is widely used for data management and analytics. The course covers topics such as data security, data encryption, and data access control, which are all essential knowledge for Data Security Analysts.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts ensure that data is collected and used in a compliant manner. This course on BigQuery Fundamentals for Snowflake Professionals may be useful to aspiring Data Privacy Analysts, as it provides a solid foundation in BigQuery, a platform that is widely used for data management and analytics. The course covers topics such as data security, data privacy regulations, and data privacy best practices, which are all essential knowledge for Data Privacy Analysts.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts ensure that data is used in a consistent and ethical manner. This course on BigQuery Fundamentals for Snowflake Professionals may be useful to aspiring Data Governance Analysts, as it provides a solid foundation in BigQuery, a platform that is widely used for data management and analytics. The course covers topics such as data security, data compliance, and data governance best practices, which are all essential knowledge for Data Governance Analysts.
Data Architect
Data Architect
Data Architects design, build, and maintain the architecture of data systems. It is a role that requires a deep understanding of data management principles and technologies. This course on BigQuery Fundamentals for Snowflake Professionals may be useful to aspiring Data Architects, as it provides a comprehensive overview of the BigQuery platform and its capabilities. The course covers topics such as data architecture, resource provisioning, data ingestion, and query optimization, which are all essential knowledge for Data Architects.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course on BigQuery Fundamentals for Snowflake Professionals may be useful to aspiring Software Engineers, as it provides a solid foundation in BigQuery, a platform that is widely used for data management and analytics. The course covers topics such as data architecture, data ingestion, and data querying, which are all essential knowledge for Software Engineers.
For more career information including salaries, visit:
OpenCourser.com/course/skqo05/bigquery
Reading list
We've selected six 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 Snowflake Professionals.
Is most helpful for providing background or reference for this course.
Save
Is most helpful for providing background or reference for this course.
Useful tool that provides additional reading material for this course.
While this book does not cover BigQuery particularly, it provides complimentary reading material to supplement this course.
Save
Provides a comprehensive overview of designing and building data-intensive applications, offering foundational knowledge for BigQuery applications.
A classic work on data warehousing concepts, providing foundational knowledge for understanding BigQuery data models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/skqo05/bigquery
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Time
1 hours
Level
Introductory
Via
Pluralsight
Instructor
Google Cloud
Language
English
Good to know
Taught by Google Cloud experts, who are recognized for their work in this industry standard data warehouse
Develops fundamental skills in data provisioning, data ingestion, and query performance optimization, which are core skills for SQL-based data warehouse professionals working in the cloud
Explores BigQuery architecture, which is standard in cloud computing
Provides hands-on labs and interactive materials which are useful for strengthening foundational skills
Intended for SQL-based data warehouse professionals, which indicates a strong fit for the target audience
Assumes extensive background knowledge in Snowflake and working professionals
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