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Designing and Querying Bigtable Schemas
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you explore a Bigtable instance and use the Bigtable CLI (cbt CLI) to query data in Bigtable. You also design a table schema and row key using best practices for Bigtable.
Register for this course and see more details by visiting:
OpenCourser.com/course/dsxoj6/designing
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops knowledge and skills in Bigtable, which is utilized by Google and other major tech firms
Taught by Google Cloud Training, a highly reputable and experienced entity in this field
Offers hands-on labs and interactive materials, providing practical experience
Suitable for beginners looking to build a strong foundation in Bigtable fundamentals
A self-paced lab environment allows for flexible and convenient learning
Provides a comprehensive exploration of Bigtable architecture and design principles
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Save Designing and Querying Bigtable Schemas 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 Designing and Querying Bigtable Schemas with these
activities:
Review basic data modeling concepts
Show steps
Refresh your understanding of data modeling concepts to prepare for the course. This will help you grasp the Bigtable schema design concepts more effectively.
Browse courses on
Data Modeling
Show steps
-
Review your notes or study materials on data modeling
-
Complete practice exercises on data modeling
Follow a tutorial on Bigtable data modeling
Show steps
Enhance your understanding of Bigtable data modeling best practices by following a guided tutorial on the topic. This will help you design efficient and scalable Bigtable schemas.
Show steps
-
Find a tutorial on Bigtable data modeling
-
Follow the tutorial and implement the recommended practices
-
Review the tutorial and reflect on how it can improve your Bigtable schema designs
Practice Bigtable CRUD operations using the CLI
Show steps
Practice creating, retrieving, updating, and deleting data in Bigtable using the CLI to reinforce your understanding of Bigtable data manipulation.
Show steps
-
Create a table and insert some data
-
Retrieve data from the table
-
Update data in the table
-
Delete data from the table
One other activity
Expand to see all activities and additional details
Show all four activities
Design a Bigtable schema for a real-world use case
Show steps
Apply your knowledge of Bigtable data modeling to a practical scenario. Design a Bigtable schema for a real-world use case to solidify your understanding and gain hands-on experience.
Show steps
-
Identify a real-world use case for Bigtable
-
Design a Bigtable schema for the use case
-
Validate your schema against best practices
-
Document your schema design
Review basic data modeling concepts
Show steps
Refresh your understanding of data modeling concepts to prepare for the course. This will help you grasp the Bigtable schema design concepts more effectively.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Review your notes or study materials on data modeling
- Complete practice exercises on data modeling
Follow a tutorial on Bigtable data modeling
Show steps
Enhance your understanding of Bigtable data modeling best practices by following a guided tutorial on the topic. This will help you design efficient and scalable Bigtable schemas.
Show steps
Show steps
Show steps
- Find a tutorial on Bigtable data modeling
- Follow the tutorial and implement the recommended practices
- Review the tutorial and reflect on how it can improve your Bigtable schema designs
Practice Bigtable CRUD operations using the CLI
Show steps
Practice creating, retrieving, updating, and deleting data in Bigtable using the CLI to reinforce your understanding of Bigtable data manipulation.
Show steps
Show steps
Show steps
- Create a table and insert some data
- Retrieve data from the table
- Update data in the table
- Delete data from the table
One other activity
Expand to see all activities and additional details
Show all four activities
Design a Bigtable schema for a real-world use case
Show steps
Apply your knowledge of Bigtable data modeling to a practical scenario. Design a Bigtable schema for a real-world use case to solidify your understanding and gain hands-on experience.
Show steps
Show steps
Show steps
- Identify a real-world use case for Bigtable
- Design a Bigtable schema for the use case
- Validate your schema against best practices
- Document your schema design
Career center
Learners who complete Designing and Querying Bigtable Schemas will develop knowledge and skills
that may be useful to these careers:
Bigtable Architect
Bigtable Architect
A Bigtable Architect designs, develops, and deploys Bigtable schemas to meet performance, availability, and scalability requirements. This course helps build a foundation for understanding Bigtable schema design and querying, providing the knowledge and skills necessary to succeed as a Bigtable Architect.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines that process and analyze large volumes of data. This course provides a foundation for understanding how to design and query Bigtable schemas, a valuable skill for Data Engineers who work with Bigtable.
Software Engineer
Software Engineer
A Software Engineer may need to design and query Bigtable schemas as part of developing and maintaining software applications that use Bigtable. This course provides a foundation for understanding the principles of Bigtable schema design and querying, which is valuable knowledge for Software Engineers working with Bigtable.
Data Analyst
Data Analyst
A Data Analyst analyzes data to extract insights and trends. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Data Analysts with the skills to effectively analyze and extract insights from Bigtable data.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data to help businesses make informed decisions. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Business Intelligence Analysts with the skills to effectively analyze and extract insights from Bigtable data.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases, including Bigtable. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Database Administrators with the skills to effectively manage and maintain Bigtable databases.
Cloud Architect
Cloud Architect
A Cloud Architect designs and manages cloud-based solutions, including Bigtable. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Cloud Architects with the skills to effectively design and manage Bigtable solutions.
Data Scientist
Data Scientist
A Data Scientist uses data to build models and make predictions. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Data Scientists with the skills to effectively access and analyze Bigtable data for modeling and prediction.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Machine Learning Engineers with the skills to effectively access and analyze Bigtable data for model building and deployment.
DevOps Engineer
DevOps Engineer
A DevOps Engineer automates and manages the deployment of software applications. This course provides a foundation for understanding how to design and query Bigtable schemas, providing DevOps Engineers with the skills to effectively manage and deploy Bigtable applications.
Systems Administrator
Systems Administrator
A Systems Administrator manages and maintains computer systems, including Bigtable. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Systems Administrators with the skills to effectively manage and maintain Bigtable systems.
Network Administrator
Network Administrator
A Network Administrator manages and maintains computer networks, including those that use Bigtable. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Network Administrators with the skills to effectively manage and maintain Bigtable networks.
Security Analyst
Security Analyst
A Security Analyst protects computer systems from security threats, including those that target Bigtable. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Security Analysts with the skills to effectively analyze and protect Bigtable systems from security threats.
Forensic Analyst
Forensic Analyst
A Forensic Analyst investigates computer crimes, including those that involve Bigtable. This course provides a foundation for understanding how to design and query Bigtable schemas, providing Forensic Analysts with the skills to effectively analyze Bigtable data for forensic investigations.
IT Auditor
IT Auditor
An IT Auditor reviews and evaluates computer systems, including those that use Bigtable. This course may provide a foundation for understanding how to design and query Bigtable schemas, providing IT Auditors with the skills to effectively review and evaluate Bigtable systems.
For more career information including salaries, visit:
OpenCourser.com/course/dsxoj6/designing
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
Designing and Querying Bigtable Schemas.
Save
This general reference on big data that also provides detailed information on data processing systems that are used in conjunction with Bigtable.
Provides a comprehensive overview of data-intensive applications, covering topics such as data models, storage systems, and distributed computing, which are relevant to understanding Bigtable.
This comprehensive guide to Hadoop, a framework for processing large datasets. It valuable resource for anyone who wants to learn more about data processing and Hadoop.
Provides a detailed overview of MapReduce, a programming model for processing large datasets. It valuable resource for anyone who wants to learn more about data processing and MapReduce.
Save
Provides a general overview of big data, including topics such as data analytics, business intelligence, and data mining. It valuable resource for anyone who wants to learn more about big data.
Provides a comprehensive glossary of big data terms and technologies. It valuable resource for anyone who wants to learn more about big data.
Save
Provides a comprehensive overview of big data analytics, including topics such as data analytics, business intelligence, and data mining.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dsxoj6/designing
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Time
1 hours
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
This course belongs to a
collection
called
Google Cloud Database Engineer. It's comprised of 16 courses:
- Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service
- Designing and Querying Bigtable Schemas (viewing)
- Monitoring and Managing Bigtable Health and Performance
- Enterprise Database Migration
- Cloud Spanner - Loading Data and Performing Backups
- Configure Replication and Enable Point-in-Time-Recovery for Cloud SQL for PostgreSQL
- Streaming Data to Bigtable
- Migrating On-premises MySQL Using a Continuous Database Migration Service Job
- Securing a Cloud SQL for PostgreSQL Instance
- Connect an App to a Cloud SQL for PostgreSQL Instance
- Migrate to Cloud SQL for PostgreSQL using Database Migration Service
- Deploy a Modern Web App connected to a Cloud Spanner Instance
- Creating and Populating a Bigtable Instance
- Cloud Spanner - Defining Schemas and Understanding Query Plans
- Cloud SQL for MySQL: Qwik Start
- A Tour of Google Cloud Hands-on Labs
Good to know
Develops knowledge and skills in Bigtable, which is utilized by Google and other major tech firms
Taught by Google Cloud Training, a highly reputable and experienced entity in this field
Offers hands-on labs and interactive materials, providing practical experience
Suitable for beginners looking to build a strong foundation in Bigtable fundamentals
A self-paced lab environment allows for flexible and convenient learning
Provides a comprehensive exploration of Bigtable architecture and design principles
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