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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 review schema related features of Cloud Spanner and apply those to a Banking Operations database. You also review the methods and rules by which Cloud Spanner creates query plans.
Register for this course and see more details by visiting:
OpenCourser.com/course/qcp4fu/cloud
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What's inside
Syllabus
Cloud Spanner - Defining Schemas and Understanding Query Plans
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops schema and query planning techniques, which are foundational data engineering topics
Provides hands-on labs to reinforce concepts and build practical skills
Taught by Google Cloud Training, an industry expert
May require prior knowledge in data engineering or related field
Save this course
Save Cloud Spanner - Defining Schemas and Understanding Query Plans 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 Cloud Spanner - Defining Schemas and Understanding Query Plans with these
activities:
Review relational databases
Show steps
Reviewing the fundamentals of relational databases, including tables, columns, keys, and relationships, can reinforce your understanding of database concepts.
Browse courses on
Relational Databases
Show steps
-
Review the different types of relational databases
-
Practice creating and managing tables
-
Execute queries to retrieve and manipulate data
Review the fundamentals of distributed databases
Show steps
Refreshing your knowledge of distributed database concepts can provide a stronger foundation for understanding Cloud Spanner's architecture and capabilities.
Browse courses on
Distributed Databases
Show steps
-
Review the different types of distributed databases
-
Understand the challenges and benefits of distributed databases
-
Explore the concepts of data replication and consistency
Review and practice online Cloud Spanner tutorials
Show steps
Review related online materials and practice exercises to enhance understanding of Cloud Spanner database concepts.
Browse courses on
Cloud Spanner
Show steps
-
Access online tutorials and exercises provided by Google Cloud.
-
Complete a series of practice exercises to reinforce concepts such as schema design, querying, and data management.
-
Review and understand the solutions to the exercises.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Participate in a study group on Cloud Spanner
Show steps
Engaging with peers in a study group provides opportunities for knowledge sharing, problem-solving, and deeper understanding.
Browse courses on
Cloud Spanner
Show steps
-
Find or form a study group with other learners
-
Regularly meet to discuss course material
-
Collaborate on practice problems and projects
Participate in online discussion forums and engage with peers
Show steps
Engaging in discussions with peers can provide new perspectives, clarify concepts, and help identify knowledge gaps.
Browse courses on
Cloud Spanner
Show steps
-
Join online discussion forums or communities related to Cloud Spanner.
-
Actively participate in discussions, ask questions, and share knowledge.
-
Engage with peers, exchange ideas, and learn from their experiences.
Create a Cloud Spanner database and design a schema
Show steps
Hands-on experience in creating and designing a database schema will deepen the understanding of Cloud Spanner's capabilities.
Browse courses on
Cloud Spanner
Show steps
-
Create a new Cloud Spanner instance and database.
-
Design and define a schema for the database, including tables, columns, and relationships.
-
Create the database with the defined schema using Cloud Spanner commands.
Solve Cloud Spanner schema design problems
Show steps
Working through practice problems on Cloud Spanner schema design can help you develop your problem-solving skills and apply your knowledge to real-world scenarios.
Browse courses on
Schema Design
Show steps
-
Analyze a given scenario and identify the required data model
-
Design a schema that meets the requirements
-
Validate your schema against best practices
Follow tutorials on Cloud Spanner advanced features
Show steps
Exploring tutorials on advanced Cloud Spanner features can help you broaden your knowledge and prepare for more complex scenarios.
Browse courses on
Advanced Features
Show steps
-
Identify areas where you want to enhance your knowledge
-
Find relevant tutorials provided by Google or the community
-
Follow the tutorials and apply the concepts to practice problems
Follow online tutorials on Cloud Spanner query optimization
Show steps
Understanding query optimization techniques will improve the ability to write efficient queries and optimize database performance.
Browse courses on
Cloud Spanner
Show steps
-
Find online resources and tutorials on Cloud Spanner query optimization.
-
Follow the tutorials and learn about techniques such as indexing, partitioning, and query plans.
-
Apply the learned techniques to optimize queries in your own Cloud Spanner database.
Build a small-scale application using Cloud Spanner
Show steps
Building a practical application using Cloud Spanner can reinforce your understanding of its functionalities and provide hands-on experience.
Browse courses on
Application Development
Show steps
-
Define the application requirements and use cases
-
Design and implement the application's data model
-
Write code to interact with Cloud Spanner
-
Deploy and test the application
Design a data model for a specific use case
Show steps
Creating a data model for a specific use case allows you to apply your understanding of Cloud Spanner schema design and demonstrate your problem-solving abilities.
Browse courses on
Data Modeling
Show steps
-
Identify a specific use case and gather requirements
-
Design a data model that meets the requirements
-
Create a presentation or document to explain your design
Contribute to open-source projects related to Cloud Spanner
Show steps
Contributing to open-source projects allows for hands-on experience and deeper understanding of Cloud Spanner's internals.
Browse courses on
Cloud Spanner
Show steps
-
Identify open-source projects on platforms like GitHub that are related to Cloud Spanner.
-
Review the documentation and codebase to understand the project's goals and implementation.
-
Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
-
Submit your contributions to the project and engage with the community.
Create a blog post on Cloud Spanner query optimization
Show steps
Creating a blog post on query optimization techniques in Cloud Spanner allows you to synthesize your knowledge, improve your communication skills, and contribute to the community.
Browse courses on
Query Optimization
Show steps
-
Research and understand different query optimization techniques
-
Apply these techniques to optimize queries in Cloud Spanner
-
Write a blog post explaining your findings
Review relational databases
Show steps
Reviewing the fundamentals of relational databases, including tables, columns, keys, and relationships, can reinforce your understanding of database concepts.
Browse courses on
Relational Databases
Show steps
Show steps
Show steps
- Review the different types of relational databases
- Practice creating and managing tables
- Execute queries to retrieve and manipulate data
Review the fundamentals of distributed databases
Show steps
Refreshing your knowledge of distributed database concepts can provide a stronger foundation for understanding Cloud Spanner's architecture and capabilities.
Browse courses on
Distributed Databases
Show steps
Show steps
Show steps
- Review the different types of distributed databases
- Understand the challenges and benefits of distributed databases
- Explore the concepts of data replication and consistency
Review and practice online Cloud Spanner tutorials
Show steps
Review related online materials and practice exercises to enhance understanding of Cloud Spanner database concepts.
Browse courses on
Cloud Spanner
Show steps
Show steps
Show steps
- Access online tutorials and exercises provided by Google Cloud.
- Complete a series of practice exercises to reinforce concepts such as schema design, querying, and data management.
- Review and understand the solutions to the exercises.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Participate in a study group on Cloud Spanner
Show steps
Engaging with peers in a study group provides opportunities for knowledge sharing, problem-solving, and deeper understanding.
Browse courses on
Cloud Spanner
Show steps
Show steps
Show steps
- Find or form a study group with other learners
- Regularly meet to discuss course material
- Collaborate on practice problems and projects
Participate in online discussion forums and engage with peers
Show steps
Engaging in discussions with peers can provide new perspectives, clarify concepts, and help identify knowledge gaps.
Browse courses on
Cloud Spanner
Show steps
Show steps
Show steps
- Join online discussion forums or communities related to Cloud Spanner.
- Actively participate in discussions, ask questions, and share knowledge.
- Engage with peers, exchange ideas, and learn from their experiences.
Create a Cloud Spanner database and design a schema
Show steps
Hands-on experience in creating and designing a database schema will deepen the understanding of Cloud Spanner's capabilities.
Browse courses on
Cloud Spanner
Show steps
Show steps
Show steps
- Create a new Cloud Spanner instance and database.
- Design and define a schema for the database, including tables, columns, and relationships.
- Create the database with the defined schema using Cloud Spanner commands.
Solve Cloud Spanner schema design problems
Show steps
Working through practice problems on Cloud Spanner schema design can help you develop your problem-solving skills and apply your knowledge to real-world scenarios.
Browse courses on
Schema Design
Show steps
Show steps
Show steps
- Analyze a given scenario and identify the required data model
- Design a schema that meets the requirements
- Validate your schema against best practices
Follow tutorials on Cloud Spanner advanced features
Show steps
Exploring tutorials on advanced Cloud Spanner features can help you broaden your knowledge and prepare for more complex scenarios.
Browse courses on
Advanced Features
Show steps
Show steps
Show steps
- Identify areas where you want to enhance your knowledge
- Find relevant tutorials provided by Google or the community
- Follow the tutorials and apply the concepts to practice problems
Follow online tutorials on Cloud Spanner query optimization
Show steps
Understanding query optimization techniques will improve the ability to write efficient queries and optimize database performance.
Browse courses on
Cloud Spanner
Show steps
Show steps
Show steps
- Find online resources and tutorials on Cloud Spanner query optimization.
- Follow the tutorials and learn about techniques such as indexing, partitioning, and query plans.
- Apply the learned techniques to optimize queries in your own Cloud Spanner database.
Build a small-scale application using Cloud Spanner
Show steps
Building a practical application using Cloud Spanner can reinforce your understanding of its functionalities and provide hands-on experience.
Browse courses on
Application Development
Show steps
Show steps
Show steps
- Define the application requirements and use cases
- Design and implement the application's data model
- Write code to interact with Cloud Spanner
- Deploy and test the application
Design a data model for a specific use case
Show steps
Creating a data model for a specific use case allows you to apply your understanding of Cloud Spanner schema design and demonstrate your problem-solving abilities.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Identify a specific use case and gather requirements
- Design a data model that meets the requirements
- Create a presentation or document to explain your design
Contribute to open-source projects related to Cloud Spanner
Show steps
Contributing to open-source projects allows for hands-on experience and deeper understanding of Cloud Spanner's internals.
Browse courses on
Cloud Spanner
Show steps
Show steps
Show steps
- Identify open-source projects on platforms like GitHub that are related to Cloud Spanner.
- Review the documentation and codebase to understand the project's goals and implementation.
- Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
- Submit your contributions to the project and engage with the community.
Create a blog post on Cloud Spanner query optimization
Show steps
Creating a blog post on query optimization techniques in Cloud Spanner allows you to synthesize your knowledge, improve your communication skills, and contribute to the community.
Browse courses on
Query Optimization
Show steps
Show steps
Show steps
- Research and understand different query optimization techniques
- Apply these techniques to optimize queries in Cloud Spanner
- Write a blog post explaining your findings
Career center
Learners who complete Cloud Spanner - Defining Schemas and Understanding Query Plans will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts work to review and interpret raw data, while developing methods for collecting, storing and managing that data. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, provides knowledge in the fields of data schemas and query plans. While this course does not necessarily make you qualified as a Data Analyst, its teachings certainly help build a foundation for working in this field.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. They work with data scientists to create models and then work with software engineers to deploy those models into production. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Machine Learning Engineers, as it teaches how to create and manage database schemas and query plans.
Data Architect
Data Architect
Data Architects play a pivotal role in designing a company's data infrastructure. They work closely with stakeholders and IT departments to understand data requirements, create data models, and implement data management solutions. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Data Architects, as it focuses on designing and understanding data schemas and query plans.
Software Engineer
Software Engineer
Software Engineers design, develop and maintain software applications. They work closely with business analysts and other stakeholders to understand software requirements and create software solutions. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Software Engineers, as it teaches how to create and manage database schemas and query plans.
Database Administrator
Database Administrator
Database Administrators maintain and optimize databases, ensuring high performance and reliability. They also work with database users to understand their needs and requirements. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Database Administrators, as it teaches how to create and manage database schemas and query plans.
Data Engineer
Data Engineer
Data Engineers work to design, build, and maintain data pipelines, which are used to move data from one system to another. They also work with data analysts and other stakeholders to understand data requirements and create data models. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Data Engineers, as it teaches how to create and manage database schemas and query plans.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing solutions. They work with customers to understand their business needs and then design and implement cloud solutions that meet those needs. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Cloud Architects, as it teaches how to create and manage database schemas and query plans.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They work with data from a variety of sources to create reports, dashboards and other data visualizations. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Business Intelligence Analysts, as it teaches how to create and manage database schemas and query plans.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They work to automate and streamline software development processes and ensure that software is deployed and maintained efficiently. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for DevOps Engineers, as it teaches how to create and manage database schemas and query plans.
Database Developer
Database Developer
Database Developers design, develop and maintain databases. They work closely with business analysts and IT staff to understand data requirements and create database schemas. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Database Developers, as it teaches how to create and manage database schemas and query plans.
Information Architect
Information Architect
Information Architects design and manage information systems. They work with stakeholders to understand information needs and then design and implement systems that meet those needs. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Information Architects, as it teaches how to create and manage database schemas and query plans.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects work to design and develop data warehouses, which are used to store and analyze large amounts of data. They also work with data analysts and other stakeholders to understand data requirements and create data models. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Data Warehouse Architects, as it teaches how to create and manage database schemas and query plans.
Technical Architect
Technical Architect
Technical Architects design and manage technical solutions. They work with stakeholders to understand business needs and then design and implement solutions that meet those needs. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Technical Architects, as it teaches how to create and manage database schemas and query plans.
Data Scientist
Data Scientist
Data Scientists use data to build machine learning models and other data-driven solutions. They work with data from a variety of sources to create models that can predict future events or identify trends. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Data Scientists, as it teaches how to create and manage database schemas and query plans.
Data Management Specialist
Data Management Specialist
Data Management Specialists work to manage and maintain data assets. They work with data from a variety of sources to ensure that it is accurate, consistent and accessible. This course, Cloud Spanner - Defining Schemas and Understanding Query Plans, may be helpful for Data Management Specialists, as it teaches how to create and manage database schemas and query plans.
For more career information including salaries, visit:
OpenCourser.com/course/qcp4fu/cloud
Reading list
We've selected nine 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
Cloud Spanner - Defining Schemas and Understanding Query Plans.
Query Processing in Relational Database Systems provides a comprehensive overview of the techniques used to process SQL queries in relational database systems. It is particularly relevant to this course because it covers query optimization in depth.
Transaction Processing: Concepts and Techniques classic textbook on transaction processing. It provides a comprehensive overview of the concepts and techniques used to implement transaction-based systems.
Save
Designing Data-Intensive Applications comprehensive guide to designing and building data-intensive applications. Chapter 5 of the book is specifically about schemaless databases, like Cloud Spanner, and is particularly relevant to this course.
This comprehensive database systems textbook covers the fundamentals of database design, query processing, transaction management, and other core concepts.
Save
Database Internals provides a detailed look at the internal workings of relational database systems. It valuable resource for understanding how Cloud Spanner implements its features.
The Data Warehouse Toolkit comprehensive guide to designing and building data warehouses. While it is not specific to Cloud Spanner, it valuable resource for understanding the principles of data warehousing.
SQL for Data Analytics practical guide to using SQL for data analysis. While it is not specific to Cloud Spanner, it valuable resource for understanding how to write efficient SQL queries.
High-Performance MySQL: Optimization, Backups, Replication, and More comprehensive guide to optimizing MySQL performance. While it is not specific to Cloud Spanner, it valuable resource for understanding the principles of database performance tuning.
Covers database design principles for scalability and performance, including schema optimization, indexing strategies, and techniques for handling high-volume data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qcp4fu/cloud
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Effort
1.5 hours
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Develops schema and query planning techniques, which are foundational data engineering topics
Provides hands-on labs to reinforce concepts and build practical skills
Taught by Google Cloud Training, an industry expert
May require prior knowledge in data engineering or related field
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