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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 create a Bigtable instance and table and then use a Dataflow template to populate the table from pre-generated data files on Cloud Storage.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a strong foundation for learners who want to gain experience with the basics of Google Cloud Bigtable and Google Cloud Dataflow
Taught by Google Cloud Training, who are recognized for their work in this field
Teaches skills and knowledge that are highly relevant to industry
Develops professional skills and deep expertise in the areas of Google Cloud Bigtable and Google Cloud Dataflow

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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 Creating and Populating a Bigtable Instance with these activities:
Review Bigtable concepts
Review the fundamentals of Bigtable to ensure you have a strong foundation for this course.
Show steps
  • Refer to the Bigtable documentation.
  • Complete the Bigtable quickstart.
Review Dataflow concepts
Refresh your knowledge of Dataflow before taking this course.
Browse courses on Dataflow
Show steps
  • Refer to the Dataflow documentation.
  • Complete the Dataflow quickstart.
Practice creating Bigtable instances and tables
Walk through the process of creating a Bigtable instance and table to solidify your understanding of the process.
Browse courses on Bigtable
Show steps
  • Create a Bigtable instance.
  • Create a Bigtable table.
Five other activities
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Practice populating a Bigtable table with data
Walk through the process of using a Dataflow template to populate a Bigtable table with data.
Browse courses on Bigtable
Show steps
  • Use the Dataflow template provided in the course.
  • Populate a Bigtable table with data.
Create a presentation on Bigtable
Create a presentation on Bigtable to improve your knowledge by sharing.
Browse courses on Bigtable
Show steps
  • Research Bigtable.
  • Create a presentation outline.
  • Practice delivering the presentation.
Mentor other students learning Bigtable
Support other students to learn Bigtable and reinforce your own understanding.
Browse courses on Bigtable
Show steps
  • Join the course forums.
  • Answer questions from other students.
Participate in a Bigtable hackathon
Join a Bigtable hackathon to apply your skills and collaborate with others.
Browse courses on Bigtable
Show steps
  • Find a Bigtable hackathon.
  • Prepare for the hackathon.
  • Attend the hackathon.
Contribute to a Bigtable open-source project
Work with the Bigtable community to strengthen your skills and contribute to the project.
Browse courses on Bigtable
Show steps
  • Find a Bigtable open-source project.
  • Contribute to the project.

Career center

Learners who complete Creating and Populating a Bigtable Instance will develop knowledge and skills that may be useful to these careers:
Software Architect
A Software Architect designs and manages software systems. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Software Architect.
Big Data Architect
A Big Data Architect designs and manages big data systems. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Big Data Architect.
IT Architect
An IT Architect designs and manages IT infrastructure. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any IT Architect.
Database Architect
A Database Architect designs and manages database systems. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Database Architect.
Systems Architect
A Systems Architect designs and manages computer systems. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Systems Architect.
Cloud Solutions Architect
A Cloud Solutions Architect designs and implements cloud solutions. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Cloud Solutions Architect.
Data Engineer
A Data Engineer builds and maintains data pipelines and infrastructure. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Data Engineer.
Big Data Engineer
A Big Data Engineer designs and builds systems for storing and processing large datasets. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Big Data Engineer.
Cloud Architect
A Cloud Architect designs and manages cloud infrastructure. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Cloud Architect.
DevOps Engineer
A DevOps Engineer combines software development and IT operations. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any DevOps Engineer.
Cloud Data Engineer
A Cloud Data Engineer designs, builds, and maintains data pipelines and infrastructure in the cloud. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Cloud Data Engineer.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Software Engineer.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Data Analyst.
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Database Administrator.
Data Scientist
A Data Scientist uses data to build models and solve problems. This course may be useful in helping you build a foundation in Bigtable, a NoSQL database service offered by Google Cloud. Bigtable is a popular choice for storing and processing large datasets, and it is often used in conjunction with other cloud services such as Dataflow and Cloud Storage. By completing this course, you will gain hands-on experience with creating and populating a Bigtable instance, which is a valuable skill for any Data Scientist.

Reading list

We've selected 15 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 Creating and Populating a Bigtable Instance.
Provides a broad overview of NoSQL databases, including Bigtable. Useful for understanding the context and key concepts of Bigtable.
Provides a comprehensive guide to designing and building data-intensive applications, including considerations for using Bigtable. Useful for understanding the architectural implications of using Bigtable.
Provides a comprehensive overview of Hadoop, including its architecture, components, and use cases. It valuable resource for gaining a foundational understanding of Big Data technologies.
Provides a high-level overview of big data systems, including Bigtable. Useful for understanding the role of Bigtable in the broader context of data processing.
Provides a broad overview of cloud computing concepts and technologies, including Bigtable. Useful for understanding the context and benefits of using Bigtable in cloud environments.
Provides a comprehensive overview of data science and how to use Python to perform data analysis and machine learning. It valuable resource for gaining a practical understanding of how to use Python for Big Data analytics.
Provides a comprehensive overview of big data analytics, including how Bigtable can be used for data storage and processing. Useful for understanding the business value of Bigtable.
Provides a practical introduction to data science, including how to use Bigtable for data storage and analysis. Useful for understanding the role of Bigtable in data science workflows.
Provides a brief overview of NoSQL databases and their advantages and disadvantages. It valuable resource for gaining a basic understanding of NoSQL databases and how they compare to traditional relational databases.
Provides a comprehensive overview of deep learning, including how to use Bigtable for data storage and training. Useful for understanding the potential of Bigtable in deep learning applications.
Provides a comprehensive overview of cloud computing, including its architecture, components, and use cases. It valuable resource for gaining a foundational understanding of cloud computing.
Provides a comprehensive overview of reinforcement learning, including how to use Bigtable for data storage and training. Useful for understanding the potential of Bigtable in reinforcement learning applications.
Provides a comprehensive overview of natural language processing, including how to use Bigtable for data storage and analysis. Useful for understanding the potential of Bigtable in natural language processing applications.
Provides a comprehensive overview of computer vision, including how to use Bigtable for data storage and analysis. Useful for understanding the potential of Bigtable in computer vision applications.
Provides a comprehensive overview of advanced analytics using Spark. It valuable resource for gaining a deep understanding of how to use Spark for advanced analytics, such as machine learning and graph analytics.

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