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Working with JSON, Arrays, and Structs in BigQuery
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will work with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. You will practice loading, querying, troubleshooting, and unnesting various semi-structured datasets.
Register for this course and see more details by visiting:
OpenCourser.com/course/5owttx/working
What's inside
Syllabus
Working with JSON, Arrays, and Structs in BigQuery
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Emphasizes core techniques for working with various data types in BigQuery, making it useful for data analysts and engineers
Builds hands-on skills through interactive labs, promoting practical application
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Working with JSON, Arrays, and Structs in BigQuery.
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Career center
Learners who complete Working with JSON, Arrays, and Structs in BigQuery will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data systems. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to build data pipelines and data warehouses.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to build machine learning models and predictive analytics.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to analyze complex data sets and identify trends and patterns.
Statistician
Statistician
A Statistician uses data to make inferences about the world. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to analyze data and draw conclusions.
Data Architect
Data Architect
A Data Architect designs and builds data management systems. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to design data warehouses and data lakes.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to build data-driven applications.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to optimize database performance and ensure data integrity.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects data from threats. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to identify and mitigate security risks.
Financial Analyst
Financial Analyst
A Financial Analyst uses data to make investment decisions. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to analyze financial data and make investment recommendations.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to analyze customer data and identify new product opportunities.
Market Researcher
Market Researcher
A Market Researcher uses data to understand customer needs and behaviors. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to conduct market research and identify trends.
Project Manager
Project Manager
A Project Manager is responsible for the planning and execution of projects. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to track project progress and identify risks.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst ensures that data is used in a consistent and ethical manner. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to develop data governance policies and procedures.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to build data pipelines and train machine learning models.
Business Analyst
Business Analyst
A Business Analyst uses data to help businesses improve their operations. This course can help you develop the skills you need to be successful in this role, such as how to work with JSON, arrays, and structs in BigQuery. This knowledge can be used to analyze business processes and identify areas for improvement.
For more career information including salaries, visit:
OpenCourser.com/course/5owttx/working
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
Working with JSON, Arrays, and Structs in BigQuery.
Save
Covers data storage, data processing, analysis, and data visualization in depth. It is commonly used as a textbook in academic institutions and by industry professionals.
Save
Covers big data principles and best practices, including how to handle semi-structured data. It provides a good introduction to big data concepts.
Save
Covers RESTful web services, including how to use JSON to exchange data between web applications. It provides a good understanding of how JSON is used in web development.
Provides a quick reference to JSON, including its syntax, data types, and use cases. It useful resource for quickly looking up information about JSON.
Save
Is the official specification for JSON. It useful resource for understanding the technical details of JSON.
Covers Hadoop, a big data processing framework that can be used to process JSON data. It provides a good understanding of how to handle large amounts of semi-structured data.
Covers data science principles and techniques, including how to work with semi-structured data. It provides a good overview of data science concepts.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5owttx/working
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Emphasizes core techniques for working with various data types in BigQuery, making it useful for data analysts and engineers
Builds hands-on skills through interactive labs, promoting practical application
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