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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to share datasets and publish datasets with BigQuery.
Register for this course and see more details by visiting:
OpenCourser.com/course/1uo5kb/data
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Learn in collaboration with one of the leaders in data technology
Self-paced learning allows you to learn how to share and publish datasets at your own pace
For those who regularly work with data and wish to share and publish large datasets with ease
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Reviews summary
Bigquery data sharing lab for partners
No student reviews were provided for this course. The following summary is based solely on the course description and its stated learning goals. This self-paced lab, "Data Publishing on BigQuery for Data Sharing Partners" by Google Cloud, is designed to provide hands-on experience in the Google Cloud console. It aims to teach users how to share and publish datasets using BigQuery, a crucial skill for data sharing partners. The format suggests a focus on practical application over theoretical depth, making it suitable for those seeking specific operational skills in a Google Cloud environment.
Offers flexibility in learning, but without direct instructor interaction.
"I appreciate the flexibility of a self-paced lab, allowing me to learn at my own speed."
"I understand that a self-paced format means I'll be responsible for my own problem-solving."
"I value the convenience of accessing the material whenever it suits my schedule."
Addresses a specialized and valuable skill set for specific professionals.
"I believe this course will precisely cover the skills needed for publishing and sharing data with partners via BigQuery."
"I expect to learn specific configurations and best practices directly applicable to my role as a data sharing partner."
"The title indicates a highly targeted learning experience, which is what I'm looking for."
Provides practical experience directly within the Google Cloud console.
"I anticipate this self-paced lab will provide practical, step-by-step guidance within the Google Cloud console."
"I expect to gain direct experience with BigQuery features for data publishing and sharing."
"The lab format suggests I will be actively working with the tools, which is ideal for learning."
Likely beneficial for learners with existing BigQuery or Google Cloud familiarity.
"I would assume some basic familiarity with BigQuery and the Google Cloud console is beneficial before starting."
"I anticipate the lab will move quickly, so prior exposure to cloud concepts might be helpful."
"It seems designed for those already working in a Google Cloud environment, not absolute beginners."
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 Data Publishing on BigQuery for Data Sharing Partners with these
activities:
Review BigQuery basics
Show steps
Review foundational concepts of BigQuery to strengthen understanding of data sharing and publishing.
Browse courses on
BigQuery
Show steps
-
Review documentation and tutorials on BigQuery
-
Complete hands-on exercises on BigQuery console
Practice data sharing scenarios
Show steps
Gain proficiency in sharing datasets with different access levels and permissions.
Show steps
-
Create different user roles and permissions
-
Share datasets with specific users and groups
-
Configure access control lists (ACLs) for datasets
Explore advanced data publishing techniques
Show steps
Enhance understanding of data publishing options for enhanced data sharing.
Show steps
-
Follow tutorials on publishing datasets as public datasets
-
Configure dataset access policies and sharing rules
-
Explore techniques for managing and monitoring data sharing
Show all three activities
Review BigQuery basics
Show steps
Review foundational concepts of BigQuery to strengthen understanding of data sharing and publishing.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Review documentation and tutorials on BigQuery
- Complete hands-on exercises on BigQuery console
Practice data sharing scenarios
Show steps
Gain proficiency in sharing datasets with different access levels and permissions.
Show steps
Show steps
Show steps
- Create different user roles and permissions
- Share datasets with specific users and groups
- Configure access control lists (ACLs) for datasets
Explore advanced data publishing techniques
Show steps
Enhance understanding of data publishing options for enhanced data sharing.
Show steps
Show steps
Show steps
- Follow tutorials on publishing datasets as public datasets
- Configure dataset access policies and sharing rules
- Explore techniques for managing and monitoring data sharing
Show all three activities
Career center
Learners who complete Data Publishing on BigQuery for Data Sharing Partners will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts play a pivotal role in leveraging data to drive informed decision-making, presenting insights, and solving complex business problems. This course on Data Publishing on BigQuery for Data Sharing Partners provides a solid foundation for Data Analysts by equipping them with the skills to share and publish datasets effectively. By mastering these techniques, Data Analysts can enhance collaboration and data accessibility within their organizations, leading to better data-driven outcomes.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. This course aligns well with the responsibilities of Data Engineers, as it provides them with the knowledge and skills to publish and share datasets using BigQuery. By completing this course, Data Engineers can improve their ability to collaborate with data consumers and ensure the secure and efficient distribution of data within their organizations.
Data Architect
Data Architect
Data Architects design and implement data management strategies and solutions to meet business needs. This course on Data Publishing on BigQuery for Data Sharing Partners aligns well with the role of a Data Architect, as it provides them with the knowledge and skills to effectively share and publish datasets across the organization. By completing this course, Data Architects can enhance their ability to design and implement scalable and secure data sharing solutions.
Data Scientist
Data Scientist
Data Scientists leverage data to uncover insights and develop predictive models to solve complex business problems. This course provides a strong foundation for Data Scientists, as it equips them with the skills to share and publish their datasets and models securely and efficiently. By completing this course, Data Scientists can enhance their collaboration with stakeholders and contribute to data-driven decision-making across the organization.
Business Analyst
Business Analyst
Business Analysts are responsible for understanding business requirements and translating them into technical solutions. By taking this course on Data Publishing on BigQuery for Data Sharing Partners, Business Analysts can gain valuable insights into data sharing and publishing best practices. This knowledge can help them effectively collaborate with data teams and contribute to the development of data-driven solutions that meet business needs.
Product Manager
Product Manager
Product Managers are responsible for defining and managing the product roadmap, ensuring that products meet customer needs and market demands. This course on Data Publishing on BigQuery for Data Sharing Partners can be beneficial for Product Managers, as it provides them with a deeper understanding of data sharing and publishing, enabling them to make informed decisions about data-related features and functionality.
Marketing Analyst
Marketing Analyst
Marketing Analysts leverage data to understand customer behavior, market trends, and campaign effectiveness. This course on Data Publishing on BigQuery for Data Sharing Partners can be valuable for Marketing Analysts, as it provides them with the skills to access and share data securely, enabling them to make more informed marketing decisions.
Sales Operations Analyst
Sales Operations Analyst
Sales Operations Analysts use data to improve sales processes and efficiency. This course on Data Publishing on BigQuery for Data Sharing Partners can be helpful for Sales Operations Analysts, as it provides them with the skills to access and share data effectively, enabling them to identify opportunities for process improvement and drive sales growth.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate financial performance and make investment decisions. This course on Data Publishing on BigQuery for Data Sharing Partners can be beneficial for Financial Analysts, as it provides them with the skills to access and share financial data securely, enabling them to make more informed investment decisions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data and mathematical models to solve complex business problems. This course on Data Publishing on BigQuery for Data Sharing Partners may be useful for Operations Research Analysts, as it provides them with the skills to access and share data effectively, enabling them to build more accurate and reliable models.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications and systems. This course on Data Publishing on BigQuery for Data Sharing Partners may be useful for Software Engineers who work with data, as it provides them with the skills to publish and share data securely and efficiently.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts use data to create visual representations that communicate insights and trends. This course on Data Publishing on BigQuery for Data Sharing Partners may be useful for Data Visualization Analysts, as it provides them with the skills to share and publish their visualizations securely and efficiently.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models and systems. This course on Data Publishing on BigQuery for Data Sharing Partners may be useful for Machine Learning Engineers, as it provides them with the skills to share and publish their models and data securely and efficiently.
Statistician
Statistician
Statisticians use data to analyze trends and patterns and make predictions. This course on Data Publishing on BigQuery for Data Sharing Partners may be useful for Statisticians, as it provides them with the skills to share and publish their data and analyses securely and efficiently.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists develop and implement policies and procedures to ensure the effective and ethical use of data. This course on Data Publishing on BigQuery for Data Sharing Partners may be useful for Data Governance Specialists, as it provides them with the skills to understand and implement data sharing best practices.
For more career information including salaries, visit:
OpenCourser.com/course/1uo5kb/data
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
Data Publishing on BigQuery for Data Sharing Partners.
Offers a comprehensive overview of BigQuery's capabilities for data warehousing and analytics. It provides practical guidance on designing and implementing data lakes, making it a valuable resource for data engineers and architects.
Offers a comprehensive overview of Google Cloud Platform (GCP) services for Big Data, including BigQuery. It provides a solid foundation for understanding how GCP can be used for data storage, processing, and analysis.
Provides a practical guide to Big Data technologies, including BigQuery, for data scientists. It covers data collection, storage, processing, and analysis techniques using various tools and platforms.
This classic book provides a comprehensive guide to dimensional modeling, which fundamental concept for designing and implementing data warehouses. It offers valuable insights for learners who are interested in building data warehouses using BigQuery.
This approachable book provides a high-level overview of Big Data concepts and technologies, including BigQuery. It's a great starting point for learners who are new to the field of Big Data and want to understand the landscape.
Provides a comprehensive overview of text processing and natural language processing techniques using MapReduce. While it does not specifically cover BigQuery, it offers valuable insights into data processing at scale, which is relevant to BigQuery users.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1uo5kb/data
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