We may earn an affiliate commission when you visit our partners.
Course image
Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. In this lab you'll use Bigtable with the cbt command line. Watch the short videos Bigtable: Qwik Start - Qwiklabs Preview and Handle Massive Worklo…

Enroll now

Two deals to help you save

We found two deals and offers that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Bigtable: Qwik Start - Command Line

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Google Cloud Training, which is recognized for its work in Cloud
Teaches Bigtable through a self-paced lab, providing hands-on experience
Suited for beginners, builds a foundation in Bigtable
This Qwiklabs course offers a sample of the Bigtable: Qwik Start course

Save this course

Save Bigtable: Qwik Start - Command Line to your list so you can find it easily later:
Save

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 Bigtable: Qwik Start - Command Line with these activities:
Review Bigtable
Increase likelihood of success by reviewing Bigtable before the course.
Browse courses on Cloud Bigtable
Show steps
  • Review online tutorials and documentation on the basics of Bigtable.
  • Practice using the Bigtable command line interface (cbt).
Create a Bigtable Schema Design
Solidify your understanding by designing a Bigtable schema.
Show steps
  • Identify the data entities and relationships for your application.
  • Translate the data model into a Bigtable schema, including column families and qualifiers.
  • Create a Bigtable table and load sample data to test your schema.
Show all two activities

Career center

Learners who complete Bigtable: Qwik Start - Command Line will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist is responsible for using data to solve problems and make predictions. This course may be useful for Data Scientists who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Data Scientists build a foundation in Bigtable so that they can use it to solve problems and make predictions.
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and deploying machine learning models. This course may be useful for Machine Learning Engineers who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Machine Learning Engineers build a foundation in Bigtable so that they can use it to develop and deploy machine learning models.
Data Architect
A Data Architect is responsible for designing and building data architectures. This course may be useful for Data Architects who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Data Architects build a foundation in Bigtable so that they can use it to design and build data architectures.
Software Engineer
A Software Engineer is responsible for designing, developing, testing, and maintaining software systems. This course may be useful for Software Engineers who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Software Engineers build a foundation in Bigtable so that they can use it to develop and maintain software systems.
Data Analyst
A Data Analyst is responsible for analyzing data to identify trends and patterns. This course may be useful for Data Analysts who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Data Analysts build a foundation in Bigtable so that they can use it to analyze data.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course may be useful for Database Administrators who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Database Administrators build a foundation in Bigtable so that they can use it to manage and maintain databases.
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. This course may be useful for Data Engineers who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Data Engineers build a foundation in Bigtable so that they can use it to design and build data pipelines.
Big Data Architect
A Big Data Architect is responsible for designing and building big data solutions. This course may be useful for Big Data Architects who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Big Data Architects build a foundation in Bigtable so that they can use it to design and build big data solutions.
Cloud Architect
A Cloud Architect is responsible for designing and implementing cloud computing solutions. This course may be useful for Cloud Architects who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Cloud Architects build a foundation in Bigtable so that they can use it to design and implement cloud computing solutions.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This course may be useful for DevOps Engineers who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help DevOps Engineers build a foundation in Bigtable so that they can use it to bridge the gap between development and operations teams.
Cloud Engineer
A Cloud Engineer is responsible for designing and implementing cloud computing solutions. This course may be useful for Cloud Engineers who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Cloud Engineers build a foundation in Bigtable so that they can use it to design and implement cloud computing solutions.
Software Architect
A Software Architect is responsible for designing and developing software systems. This course may be useful for Software Architects who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Software Architects build a foundation in Bigtable so that they can use it to design and develop software systems.
Systems Engineer
A Systems Engineer is responsible for designing and implementing systems solutions. This course may be useful for Systems Engineers who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Systems Engineers build a foundation in Bigtable so that they can use it to design and implement systems solutions.
Data Warehouse Architect
A Data Warehouse Architect is responsible for designing and building data warehouses. This course may be useful for Data Warehouse Architects who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Data Warehouse Architects build a foundation in Bigtable so that they can use it to design and build data warehouses.
Database Designer
A Database Designer is responsible for designing and developing databases. This course may be useful for Database Designers who want to learn about Bigtable, a NoSQL Big Data database service that is used by many core Google services. This course can help Database Designers build a foundation in Bigtable so that they can use it to design and develop databases.

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 Bigtable: Qwik Start - Command Line.
Provides a comprehensive overview of distributed systems and their applications, including Bigtable. It valuable resource for anyone who wants to learn more about distributed systems and how to use them effectively.
Provides a comprehensive overview of database systems, including NoSQL databases such as Bigtable. It valuable resource for anyone who wants to learn more about the fundamentals of database systems.
Provides a comprehensive overview of NoSQL databases, including Bigtable. It valuable resource for anyone who wants to learn more about NoSQL databases and how to use them effectively.
Provides a comprehensive overview of data science and its applications in business. It valuable resource for anyone who wants to learn more about data science and how to use it to make better decisions.
Provides a comprehensive overview of deep learning and its applications in business. It valuable resource for anyone who wants to learn more about deep learning and how to use it to create innovative products and services.
Provides a practical guide to big data analytics, including NoSQL databases such as Bigtable. It helpful resource for understanding the challenges and opportunities of big data, and how to use it to gain valuable insights.
Provides a comprehensive guide to Hadoop, including its use with NoSQL databases such as Bigtable. It valuable resource for understanding the Hadoop ecosystem and how to use it to manage and process big data.
Provides a comprehensive guide to MongoDB, a NoSQL database that is different from Bigtable but still relevant to the course. It valuable resource for understanding the architecture, features, and limitations of MongoDB.
Provides a comprehensive introduction to data warehousing, including the use of NoSQL databases such as Bigtable. It valuable resource for understanding the concepts and techniques of data warehousing, and how to apply them to real-world scenarios.
Provides a comprehensive guide to designing and building data-intensive applications, including the use of NoSQL databases such as Bigtable. It valuable resource for understanding the challenges and opportunities of data-intensive applications, and how to design and build them effectively.
Provides a quick overview of seven different NoSQL databases, including Bigtable. It valuable resource for understanding the similarities and differences between different NoSQL databases.
Provides a concise introduction to NoSQL databases, including Bigtable. It valuable resource for understanding the concepts and benefits of NoSQL databases, and their role in modern data management.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Bigtable: Qwik Start - Command Line.
Designing and Querying Bigtable Schemas
Most relevant
Bigtable: Qwik Start - Hbase Shell
Most relevant
Using OpenTSDB to Monitor Time-Series Data on Cloud...
Most relevant
Monitoring and Managing Bigtable Health and Performance
Most relevant
Creating and Populating a Bigtable Instance
Most relevant
Streaming Data to Bigtable
Most relevant
Introduction to Cloud Bigtable (Java)
Most relevant
HBase to Bigtable Offline Migration
Most relevant
Architecting Big Data Solutions Using Google Bigtable
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser