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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 implement BigLake tables.
Register for this course and see more details by visiting:
OpenCourser.com/course/p6qum9/biglake
What's inside
Syllabus
BigLake: Qwik Start
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches how to implement BigLake tables, which is a core skill for data engineering
Taught by Google Cloud Training, who are recognized for their work in cloud computing
Develops core skills for data engineers who work with BigLake
Teaches concepts and methods that are relevant to industry
Self-paced, allowing learners to complete the course at their own pace
Hands-on lab component provides learners with practical experience
Save this course
Save BigLake: Qwik Start 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 BigLake: Qwik Start with these
activities:
Review Google Cloud Platform (GCP)
Show steps
Refresh your knowledge of Google Cloud Platform (GCP) to establish a solid foundation for this course on BigLake tables.
Browse courses on
Google Cloud Platform (GCP)
Show steps
-
Revisit documentation and tutorials on GCP
-
Practice hands-on exercises in a GCP sandbox environment
Review of SQL and relational database concepts
Show steps
Brings essential SQL and relational database concepts to mind that will help students engage with the course materials fully.
Browse courses on
SQL
Show steps
-
Review notes and materials from previous coursework in SQL and relational databases.
-
Take practice quizzes and exercises on SQL and database fundamentals.
-
Complete a small project or exercise that involves creating and querying a database.
Explore Google BigQuery tutorials
Show steps
Enhance your understanding of BigQuery, a crucial component for implementing BigLake tables, by following guided tutorials.
Browse courses on
BigQuery
Show steps
-
Access the official Google BigQuery tutorial documentation
-
Choose and complete tutorials relevant to your skill level
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Organize and review course materials, including lecture notes, assignments, and practice exercises.
Show steps
Helps learners stay organized and engaged with the course materials, reinforcing key concepts and improving retention.
Show steps
-
Create a dedicated space or folder for course materials.
-
Regularly download and organize lecture notes, assignments, and practice exercises.
-
Review the materials frequently, highlighting important concepts and making annotations.
Organize a study group for BigLake tables
Show steps
Reinforce your learning by engaging in discussions and sharing knowledge with peers through a dedicated study group focused on BigLake tables.
Browse courses on
BigLake
Show steps
-
Find classmates or peers with similar interests
-
Establish a regular meeting schedule
-
Prepare discussion topics and activities
Practice SQL queries for BigQuery
Show steps
Strengthen your SQL skills, essential for working with BigLake tables, through repetitive exercises.
Browse courses on
SQL
Show steps
-
Utilize online SQL practice platforms
-
Create and execute SQL queries against BigQuery datasets
Participate in online discussion forums or study groups focused on BigLake.
Show steps
Encourages collaborative learning and knowledge sharing among peers, fostering a deeper understanding of BigLake concepts and best practices.
Show steps
-
Identify relevant online discussion forums or study groups focused on BigLake.
-
Join the forums or groups and actively participate in discussions.
-
Share knowledge, ask questions, and engage with peers to gain diverse perspectives and insights.
Hands-on lab exercises with BigLake tables
Show steps
Gain practical experience in implementing BigLake tables by completing hands-on lab exercises provided by Google Cloud Training.
Browse courses on
BigLake
Show steps
-
Follow the instructions in the lab exercises provided in the course
-
Implement BigLake tables in various scenarios
-
Troubleshoot any challenges encountered during the exercises
Research best practices for BigLake tables
Show steps
Expand your knowledge by exploring best practices and design patterns for optimizing the implementation of BigLake tables.
Browse courses on
BigLake
Show steps
-
Read articles and blog posts on best practices
-
Attend webinars or watch videos on BigLake optimization techniques
-
Engage in discussions with experts in online forums
Contribute to the BigLake open-source community
Show steps
Deepen your understanding of BigLake and connect with the community by actively contributing to open-source projects related to BigLake tables.
Browse courses on
BigLake
Show steps
-
Identify open-source projects related to BigLake
-
Review the project documentation and codebase
-
Submit pull requests with bug fixes or feature enhancements
Review Google Cloud Platform (GCP)
Show steps
Refresh your knowledge of Google Cloud Platform (GCP) to establish a solid foundation for this course on BigLake tables.
Browse courses on
Google Cloud Platform (GCP)
Show steps
Show steps
Show steps
- Revisit documentation and tutorials on GCP
- Practice hands-on exercises in a GCP sandbox environment
Review of SQL and relational database concepts
Show steps
Brings essential SQL and relational database concepts to mind that will help students engage with the course materials fully.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review notes and materials from previous coursework in SQL and relational databases.
- Take practice quizzes and exercises on SQL and database fundamentals.
- Complete a small project or exercise that involves creating and querying a database.
Explore Google BigQuery tutorials
Show steps
Enhance your understanding of BigQuery, a crucial component for implementing BigLake tables, by following guided tutorials.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Access the official Google BigQuery tutorial documentation
- Choose and complete tutorials relevant to your skill level
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Organize and review course materials, including lecture notes, assignments, and practice exercises.
Show steps
Helps learners stay organized and engaged with the course materials, reinforcing key concepts and improving retention.
Show steps
Show steps
Show steps
- Create a dedicated space or folder for course materials.
- Regularly download and organize lecture notes, assignments, and practice exercises.
- Review the materials frequently, highlighting important concepts and making annotations.
Organize a study group for BigLake tables
Show steps
Reinforce your learning by engaging in discussions and sharing knowledge with peers through a dedicated study group focused on BigLake tables.
Browse courses on
BigLake
Show steps
Show steps
Show steps
- Find classmates or peers with similar interests
- Establish a regular meeting schedule
- Prepare discussion topics and activities
Practice SQL queries for BigQuery
Show steps
Strengthen your SQL skills, essential for working with BigLake tables, through repetitive exercises.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Utilize online SQL practice platforms
- Create and execute SQL queries against BigQuery datasets
Participate in online discussion forums or study groups focused on BigLake.
Show steps
Encourages collaborative learning and knowledge sharing among peers, fostering a deeper understanding of BigLake concepts and best practices.
Show steps
Show steps
Show steps
- Identify relevant online discussion forums or study groups focused on BigLake.
- Join the forums or groups and actively participate in discussions.
- Share knowledge, ask questions, and engage with peers to gain diverse perspectives and insights.
Hands-on lab exercises with BigLake tables
Show steps
Gain practical experience in implementing BigLake tables by completing hands-on lab exercises provided by Google Cloud Training.
Browse courses on
BigLake
Show steps
Show steps
Show steps
- Follow the instructions in the lab exercises provided in the course
- Implement BigLake tables in various scenarios
- Troubleshoot any challenges encountered during the exercises
Research best practices for BigLake tables
Show steps
Expand your knowledge by exploring best practices and design patterns for optimizing the implementation of BigLake tables.
Browse courses on
BigLake
Show steps
Show steps
Show steps
- Read articles and blog posts on best practices
- Attend webinars or watch videos on BigLake optimization techniques
- Engage in discussions with experts in online forums
Contribute to the BigLake open-source community
Show steps
Deepen your understanding of BigLake and connect with the community by actively contributing to open-source projects related to BigLake tables.
Browse courses on
BigLake
Show steps
Show steps
Show steps
- Identify open-source projects related to BigLake
- Review the project documentation and codebase
- Submit pull requests with bug fixes or feature enhancements
Career center
Learners who complete BigLake: Qwik Start will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are responsible for collecting and analyzing data to help businesses make better decisions. This course would be helpful for Data Analysts because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Data Analysts who want to work with large datasets.
Data Scientist
Data Scientist
Data Scientists are responsible for using data to solve business problems. This course would be helpful for Data Scientists because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Data Scientists who want to work with large datasets.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that stores and processes data. This course would be helpful for Data Engineers because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Data Engineers who want to work with large datasets.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course would be helpful for Database Administrators because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Database Administrators who want to work with large datasets.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course would be helpful for Software Engineers because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Software Engineers who want to work with large datasets.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visualizations that communicate data insights. This course would be helpful for Data Visualization Specialists because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Data Visualization Specialists who want to work with large datasets.
Technical Writer
Technical Writer
Technical Writers are responsible for creating documentation for software and other products. This course would be helpful for Technical Writers because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Technical Writers who want to work with large datasets.
Data Science Manager
Data Science Manager
Data Science Managers are responsible for managing data science teams. This course would be helpful for Data Science Managers because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Data Science Managers who want to work with large datasets.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts are responsible for developing and implementing data governance policies. This course would be helpful for Data Governance Analysts because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Data Governance Analysts who want to work with large datasets.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. This course would be helpful for Project Managers because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Project Managers who want to work with large datasets.
Big Data Engineer
Big Data Engineer
Big Data Engineers are responsible for designing and building big data architectures. This course would be helpful for Big Data Engineers because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Big Data Engineers who want to work with large datasets.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business needs and developing solutions to meet those needs. This course would be helpful for Business Analysts because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Business Analysts who want to work with large datasets.
Data Architect
Data Architect
Data Architects are responsible for designing and building data architectures. This course would be helpful for Data Architects because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Data Architects who want to work with large datasets.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. This course would be helpful for Product Managers because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Product Managers who want to work with large datasets.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing and building cloud architectures. This course would be helpful for Cloud Architects because it would teach them how to use BigLake to implement BigLake tables. This knowledge would be valuable for Cloud Architects who want to work with large datasets.
For more career information including salaries, visit:
OpenCourser.com/course/p6qum9/biglake
Reading list
We've selected seven 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
BigLake: Qwik Start.
Save
Provides a comprehensive guide to designing data-intensive applications. It covers topics such as data modeling, data storage, and data processing.
Provides a comprehensive guide to data engineering on Google Cloud Platform. It covers all aspects of data engineering, from data ingestion to analysis.
Provides a comprehensive guide to big data analytics. It covers everything from big data architecture to big data analytics techniques. It is particularly useful for readers who are new to big data analytics or who want to learn more about the latest trends in big data analytics.
Provides a comprehensive guide to data warehousing. It covers all aspects of data warehouse design, implementation, and management.
Save
Provides a practical guide to data-driven innovation. It covers all aspects of data-driven innovation, from data collection to analysis.
Provides a comprehensive guide to data analytics. It covers everything from data collection to data visualization. It is particularly useful for readers who are new to data analytics or who want to learn more about the latest trends in data analytics.
Provides a practical guide to data analytics for managers. It covers all aspects of data analytics, from data collection to analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/p6qum9/biglake
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Effort
45 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Teaches how to implement BigLake tables, which is a core skill for data engineering
Taught by Google Cloud Training, who are recognized for their work in cloud computing
Develops core skills for data engineers who work with BigLake
Teaches concepts and methods that are relevant to industry
Self-paced, allowing learners to complete the course at their own pace
Hands-on lab component provides learners with practical experience
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