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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 create Data Twins for customers on Google Cloud or a different cloud service provider.

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What's inside

Syllabus

Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational skills for working with Google Cloud
Taught by Google Cloud Training, who are recognized experts in their field
Uses a self-paced lab for hands-on learning
Focuses specifically on creating Data Twins for customers
Requires experience with BigQuery

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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 Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery with these activities:
Read O'Reilly's "Designing Data-Intensive Applications"
This book covers the concepts and techniques for designing and building scalable, reliable, and efficient data-intensive applications, which is relevant to the topics covered in this course on Data Twins.
View Secret Colors on Amazon
Show steps
  • Read chapters 1-3
  • Read chapters 4-6
  • Read chapters 7-9
Attend a Google Cloud Meetup
Attending a Google Cloud Meetup will allow you to connect with other professionals in the field and learn about the latest trends.
Show steps
  • Find a Google Cloud Meetup in your area
  • Register for the Meetup
  • Attend the Meetup
Form a study group
Forming a study group will allow you to collaborate with other students and learn from each other.
Show steps
  • Find other students who are taking the course
  • Schedule regular study sessions
  • Discuss the course material
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow the Google Cloud Data Twins tutorial
Following the Google Cloud Data Twins tutorial will provide you with step-by-step instructions on how to create a data twin.
Browse courses on Google Cloud
Show steps
  • Go to the Google Cloud Data Twins tutorial page
  • Follow the instructions in the tutorial
  • Complete the tutorial
Volunteer at a data-related organization
Volunteering at a data-related organization will allow you to gain practical experience and make a difference in the community.
Show steps
  • Find a data-related organization that you are interested in
  • Contact the organization and inquire about volunteer opportunities
  • Participate in volunteer activities
Practice building data pipelines
Practice by creating and managing data pipelines will help you master the concepts covered in this course on Data Twins.
Show steps
  • Set up a project on Google Cloud
  • Create a BigQuery dataset
  • Extract data from a source system
  • Transform the data using BigQuery
  • Load the transformed data into the BigQuery dataset
Build a data twin for a customer
Creating a data twin for a customer will provide you with hands-on experience in applying the concepts covered in this course.
Browse courses on Google Cloud
Show steps
  • Gather requirements from the customer
  • Design the data twin
  • Implement the data twin using Google Cloud
  • Validate the data twin
Contribute to the Google Cloud Data Twins open-source project
Contributing to the Google Cloud Data Twins open-source project will allow you to learn from other developers and contribute to the community.
Browse courses on Google Cloud
Show steps
  • Find an issue on the Google Cloud Data Twins GitHub repository
  • Fix the issue
  • Submit a pull request

Career center

Learners who complete Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts aggregate, clean, and interpret data to advise businesses on key aspects of their operations. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with customer-specific datasets and using BigQuery to analyze data. This course can help you build a foundation in data analysis and can be particularly relevant to Data Analysts who wish to specialize in working with customer data.
Data Scientist
Data Scientists use data to build models that can predict future outcomes or identify patterns. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with customer data and using BigQuery to analyze data. This course can help you build a foundation in data science and can be particularly relevant to Data Scientists who wish to specialize in working with customer data.
Data Engineer
Data Engineers design and build systems to store and process large amounts of data. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with customer data and using BigQuery to analyze data. This course can help you build a foundation in data engineering and can be particularly relevant to Data Engineers who wish to specialize in working with customer data.
Business Analyst
Business Analysts use data to identify opportunities and solve problems for businesses. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with customer data and using BigQuery to analyze data. This course can help you build a foundation in business analysis and can be particularly relevant to Business Analysts who wish to specialize in working with customer data.
Customer Success Manager
Customer Success Managers help businesses get the most value from their products or services. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with customer data and using BigQuery to analyze data. This course can help you build a foundation in customer success management and can be particularly relevant to Customer Success Managers who wish to specialize in working with customer data.
Product Manager
Product Managers oversee the development and launch of new products or features. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with customer data and using BigQuery to analyze data. This course can help you build a foundation in product management and can be particularly relevant to Product Managers who wish to specialize in working with customer data.
Salesforce Administrator
Salesforce Administrators manage and maintain Salesforce software for businesses. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with customer data and using BigQuery to analyze data. This course can help you build a foundation in Salesforce administration and can be particularly relevant to Salesforce Administrators who wish to specialize in working with customer data.
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help businesses understand their data. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with customer data and using BigQuery to analyze data. This course can help you build a foundation in data visualization and can be particularly relevant to Data Visualization Specialists who wish to specialize in working with customer data.
Information Technology (IT) Auditor
IT Auditors evaluate the security and compliance of computer systems for businesses. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with data. This course can help you build a foundation in IT auditing and can be particularly relevant to IT Auditors who wish to specialize in working with customer data.
Data Architect
Data Architects design and build data management systems for businesses. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with data. This course can help you build a foundation in data architecture and can be particularly relevant to Data Architects who wish to specialize in working with customer data.
Database Administrator
Database Administrators manage and maintain databases for businesses. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with data. This course can help you build a foundation in database administration and can be particularly relevant to Database Administrators who wish to specialize in working with customer data.
Information Security Analyst
Information Security Analysts protect businesses from cyberattacks. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with data. This course can help you build a foundation in information security and can be particularly relevant to Information Security Analysts who wish to specialize in working with customer data.
Marketing Analyst
Marketing Analysts use data to measure the effectiveness of marketing campaigns. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with customer data and using BigQuery to analyze data. This course can help you build a foundation in marketing analysis and can be particularly relevant to Marketing Analysts who wish to specialize in working with customer data.
Financial Analyst
Financial Analysts use data to evaluate the financial performance of companies. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with data. This course can help you build a foundation in financial analysis and can be particularly relevant to Financial Analysts who wish to specialize in working with customer data.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency and effectiveness of business operations. The course on Consuming Customer Specific Datasets from Data Sharing Partners Using BigQuery may be useful in this role since it provides hands-on experience with working with data. This course can help you build a foundation in operations research and can be particularly relevant to Operations Research Analysts who wish to specialize in working with customer data.

Reading list

We've selected 12 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 Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery.
Provides best practices for data sharing, including how to identify and mitigate risks, and how to ensure that data is shared securely and ethically.
While this book does not focus specifically on BigQuery, it provides valuable insights into the broader landscape of big data management. It covers topics such as data governance, data analytics, and data security.
Provides a non-technical introduction to machine learning and its applications. It valuable resource for those who want to understand the potential of machine learning without getting bogged down in technical details.
Provides a practical guide to data governance, including how to develop and implement a data governance program.
Provides a comprehensive overview of machine learning, including how to use machine learning to build predictive models.

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