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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 Authorized Views in BigQuery can be shared and consumed to create customer-specific dashboards.
Register for this course and see more details by visiting:
OpenCourser.com/course/6hjg56/analytics
What's inside
Syllabus
Analytics as a Service for Data Sharing Partners
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers sharing and consuming Authorized Views for custom dashboards, which is highly relevant in many industries
Utilizes the Google Cloud console for hands-on practice
Taught by Google Cloud Training, renowned for their expertise in cloud computing
Suitable for individuals familiar with BigQuery and seeking to enhance their data sharing capabilities
May require prior knowledge of data analytics and cloud computing concepts
Focuses solely on Authorized Views in BigQuery, which may limit its applicability in other data sharing contexts
Save this course
Save Analytics as a Service for Data Sharing Partners 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 Analytics as a Service for Data Sharing Partners with these
activities:
Connect with experts in data sharing and consumption
Show steps
Benefit from the guidance and support of experienced professionals in the field
Browse courses on
Data Sharing
Show steps
-
Attend industry events and conferences
-
Join online forums and communities
Compile resources on authorized views in BigQuery
Show steps
Gather and organize a collection of resources on authorized views in BigQuery for future reference.
Browse courses on
Authorized Views
Show steps
-
Search for documentation, tutorials, and articles
-
Collect and store the resources in a central location
Attend a workshop on data sharing best practices
Show steps
Acquire industry insights and practical knowledge through a focused workshop.
Browse courses on
Data Sharing
Show steps
-
Research and identify relevant workshops
-
Register and attend the workshop
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice creating authorized views in BigQuery
Show steps
Master the process of creating authorized views in BigQuery through repetitive practice.
Browse courses on
Authorized Views
Show steps
-
Create a dataset and table in BigQuery
-
Grant access to the dataset to another user
-
Create an authorized view on the table
-
Query the authorized view
Participate in a study group on authorized views
Show steps
Enhance understanding through collaboration and discussion with peers
Browse courses on
Authorized Views
Show steps
-
Find a study group or create your own
-
Meet regularly to discuss concepts and share best practices
Develop a data sharing strategy
Show steps
Apply the concepts of data sharing and consumption to create a comprehensive data sharing strategy.
Browse courses on
Data Sharing
Show steps
-
Identify the stakeholders and their data needs
-
Determine the data to be shared
-
Establish security and governance policies
-
Implement a data sharing solution
Contribute to open-source projects on authorized views
Show steps
Gain hands-on experience and contribute to the open-source community
Browse courses on
Authorized Views
Show steps
-
Identify open-source projects related to authorized views
-
Contribute code, documentation, or bug fixes
Connect with experts in data sharing and consumption
Show steps
Benefit from the guidance and support of experienced professionals in the field
Browse courses on
Data Sharing
Show steps
Show steps
Show steps
- Attend industry events and conferences
- Join online forums and communities
Compile resources on authorized views in BigQuery
Show steps
Gather and organize a collection of resources on authorized views in BigQuery for future reference.
Browse courses on
Authorized Views
Show steps
Show steps
Show steps
- Search for documentation, tutorials, and articles
- Collect and store the resources in a central location
Attend a workshop on data sharing best practices
Show steps
Acquire industry insights and practical knowledge through a focused workshop.
Browse courses on
Data Sharing
Show steps
Show steps
Show steps
- Research and identify relevant workshops
- Register and attend the workshop
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice creating authorized views in BigQuery
Show steps
Master the process of creating authorized views in BigQuery through repetitive practice.
Browse courses on
Authorized Views
Show steps
Show steps
Show steps
- Create a dataset and table in BigQuery
- Grant access to the dataset to another user
- Create an authorized view on the table
- Query the authorized view
Participate in a study group on authorized views
Show steps
Enhance understanding through collaboration and discussion with peers
Browse courses on
Authorized Views
Show steps
Show steps
Show steps
- Find a study group or create your own
- Meet regularly to discuss concepts and share best practices
Develop a data sharing strategy
Show steps
Apply the concepts of data sharing and consumption to create a comprehensive data sharing strategy.
Browse courses on
Data Sharing
Show steps
Show steps
Show steps
- Identify the stakeholders and their data needs
- Determine the data to be shared
- Establish security and governance policies
- Implement a data sharing solution
Contribute to open-source projects on authorized views
Show steps
Gain hands-on experience and contribute to the open-source community
Browse courses on
Authorized Views
Show steps
Show steps
Show steps
- Identify open-source projects related to authorized views
- Contribute code, documentation, or bug fixes
Career center
Learners who complete Analytics as a Service for Data Sharing Partners will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts provide insights from data by using statistical analysis and predictive modeling. Analytics as a Service for Data Sharing Partners may be useful for aspiring Data Analysts who want to learn about how to share and consume data in the cloud.
Data Engineer
Data Engineer
Data Engineers build, manage, and maintain the infrastructure that stores and processes data. This course may be useful for Data Engineers who want to learn about how to share and consume data in the cloud.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. Analytics as a Service for Data Sharing Partners may be useful for Machine Learning Engineers who want to learn about how to share and consume data in the cloud.
Data Scientist
Data Scientist
Data Scientists use statistical analysis and machine learning to extract insights from data. Analytics as a Service for Data Sharing Partners may be useful for Data Scientists who want to learn about how to share and consume data in the cloud.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst designs, builds, and manages applications that can analyze an organization's data. This course, Analytics as a Service for Data Sharing Partners, may be useful in helping you understand how to share and consume data in the cloud, which is a valuable skill for Business Intelligence Analysts.
Data Architecture
Data Architecture
A Data Architect designs and manages the architecture of an organization's data infrastructure. This course may be useful for Data Architects who want to learn about how to share and consume data in the cloud.
Cloud Engineer
Cloud Engineer
Cloud Engineers build, deploy, and maintain cloud computing solutions. Analytics as a Service for Data Sharing Partners may be useful for Cloud Engineers who want to learn about how to share and consume data in the cloud.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud computing solutions. Analytics as a Service for Data Sharing Partners may be useful for Cloud Architects who want to learn about how to share and consume data in the cloud.
Systems Engineer
Systems Engineer
Systems Engineers design, build, and maintain IT systems. Analytics as a Service for Data Sharing Partners may be useful for Systems Engineers who want to learn about how to share and consume data in the cloud.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts ensure that data is used in a consistent and compliant manner. This course may be useful for Data Governance Analysts who want to learn about how to share and consume data in the cloud.
Data Security Analyst
Data Security Analyst
Data Security Analysts protect data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Data Security Analysts who want to learn about how to share and consume data in the cloud.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts ensure that data is collected, used, and disclosed in a manner that complies with privacy laws and regulations. This course may be useful for Data Privacy Analysts who want to learn about how to share and consume data in the cloud.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Analytics as a Service for Data Sharing Partners may be useful for Software Engineers who want to learn about how to share and consume data in the cloud.
IT Project Manager
IT Project Manager
IT Project Managers plan, organize, and manage IT projects. Analytics as a Service for Data Sharing Partners may be useful for IT Project Managers who want to learn about how to share and consume data in the cloud.
IT Consultant
IT Consultant
IT Consultants provide advice and guidance on IT matters. Analytics as a Service for Data Sharing Partners may be useful for IT Consultants who want to learn about how to share and consume data in the cloud.
For more career information including salaries, visit:
OpenCourser.com/course/6hjg56/analytics
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
Analytics as a Service for Data Sharing Partners.
Spark popular data processing engine that can be used with BigQuery. provides a comprehensive overview of Spark, including its architecture, components, and tools.
BigQuery can be used for machine learning. provides a gentle introduction to machine learning, including its methods, tools, and applications.
Python popular programming language that can be used with BigQuery. provides a comprehensive overview of data analysis with Python, including its libraries, tools, and techniques.
SQL popular query language that can be used with BigQuery. provides a gentle introduction to SQL, including its syntax, commands, and functions.
Save
Data visualization is an important tool for presenting data insights. provides a practical introduction to data visualization, including its principles, techniques, and tools.
Provides a practical introduction to data science, including its methods, tools, and applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6hjg56/analytics
Share
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Effort
30 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Covers sharing and consuming Authorized Views for custom dashboards, which is highly relevant in many industries
Utilizes the Google Cloud console for hands-on practice
Taught by Google Cloud Training, renowned for their expertise in cloud computing
Suitable for individuals familiar with BigQuery and seeking to enhance their data sharing capabilities
May require prior knowledge of data analytics and cloud computing concepts
Focuses solely on Authorized Views in BigQuery, which may limit its applicability in other data sharing contexts
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