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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 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
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
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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Save Working with JSON, Arrays, and Structs in BigQuery 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 Working with JSON, Arrays, and Structs in BigQuery with these
activities:
Review SQL Basics
Show steps
Refresh your understanding of basic SQL concepts to prepare for querying semi-structured data in BigQuery.
Browse courses on
SQL
Show steps
-
Revisit online tutorials or documentation on SQL
-
Practice writing simple SQL queries
-
Use an online SQL editor or sandbox to experiment with queries
JSON Parsing Practice
Show steps
Practice parsing JSON data to become proficient in working with this data type in BigQuery.
Browse courses on
JSON
Show steps
-
Locate online JSON parser
-
Copy and paste JSON data into the parser
-
Convert JSON data into a table
-
Verify the table structure and data types
Study Group: Troubleshooting BigQuery Queries
Show steps
Join a study group with peers to discuss common challenges and solutions in troubleshooting BigQuery queries.
Browse courses on
BigQuery
Show steps
-
Find or create a study group with other students enrolled in the course
-
Meet regularly to discuss specific BigQuery queries and troubleshooting techniques
-
Share knowledge, insights, and best practices with group members
-
Work together to solve complex query problems
Four other activities
Expand to see all activities and additional details
Show all seven activities
BigQuery Array Functions Tutorial
Show steps
Follow a tutorial to learn how to use array functions to transform and manipulate array data in BigQuery.
Browse courses on
Array Functions
Show steps
-
Find a comprehensive tutorial on BigQuery array functions
-
Read through the tutorial and follow the examples
-
Experiment with different array functions using the Google Cloud console
-
Apply array functions to solve practical problems with data
Mini-Project: Analyze JSON Data from a Social Media Platform
Show steps
Develop a small-scale project that involves loading, querying, and analyzing JSON data from a social media platform.
Browse courses on
BigQuery
Show steps
-
Identify a social media platform and collect a sample of JSON data
-
Load the data into a BigQuery table
-
Write queries to extract insights from the data
-
Visualize the results and present your findings
Blog Post: Use Cases for Semi-Structured Data
Show steps
Create a blog post that explores real-world use cases for working with semi-structured data in BigQuery.
Browse courses on
Semi-Structured Data
Show steps
-
Research different industries and applications where semi-structured data is used
-
Identify specific examples of how semi-structured data has been leveraged to solve problems or drive insights
-
Write a detailed blog post that explains the benefits and challenges of using semi-structured data in BigQuery
-
Include code examples and practical tips for working with semi-structured data
-
Publish the blog post on a relevant platform
BigQuery Code Challenge
Show steps
Participate in a BigQuery code challenge to solve complex data analysis problems and demonstrate your skills.
Browse courses on
BigQuery
Show steps
-
Find or register for an upcoming BigQuery code challenge
-
Review the challenge problem statement and data provided
-
Develop a solution using BigQuery SQL and other relevant technologies
-
Submit your solution and compete against other participants
Review SQL Basics
Show steps
Refresh your understanding of basic SQL concepts to prepare for querying semi-structured data in BigQuery.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Revisit online tutorials or documentation on SQL
- Practice writing simple SQL queries
- Use an online SQL editor or sandbox to experiment with queries
JSON Parsing Practice
Show steps
Practice parsing JSON data to become proficient in working with this data type in BigQuery.
Browse courses on
JSON
Show steps
Show steps
Show steps
- Locate online JSON parser
- Copy and paste JSON data into the parser
- Convert JSON data into a table
- Verify the table structure and data types
Study Group: Troubleshooting BigQuery Queries
Show steps
Join a study group with peers to discuss common challenges and solutions in troubleshooting BigQuery queries.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Find or create a study group with other students enrolled in the course
- Meet regularly to discuss specific BigQuery queries and troubleshooting techniques
- Share knowledge, insights, and best practices with group members
- Work together to solve complex query problems
Four other activities
Expand to see all activities and additional details
Show all seven activities
BigQuery Array Functions Tutorial
Show steps
Follow a tutorial to learn how to use array functions to transform and manipulate array data in BigQuery.
Browse courses on
Array Functions
Show steps
Show steps
Show steps
- Find a comprehensive tutorial on BigQuery array functions
- Read through the tutorial and follow the examples
- Experiment with different array functions using the Google Cloud console
- Apply array functions to solve practical problems with data
Mini-Project: Analyze JSON Data from a Social Media Platform
Show steps
Develop a small-scale project that involves loading, querying, and analyzing JSON data from a social media platform.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Identify a social media platform and collect a sample of JSON data
- Load the data into a BigQuery table
- Write queries to extract insights from the data
- Visualize the results and present your findings
Blog Post: Use Cases for Semi-Structured Data
Show steps
Create a blog post that explores real-world use cases for working with semi-structured data in BigQuery.
Browse courses on
Semi-Structured Data
Show steps
Show steps
Show steps
- Research different industries and applications where semi-structured data is used
- Identify specific examples of how semi-structured data has been leveraged to solve problems or drive insights
- Write a detailed blog post that explains the benefits and challenges of using semi-structured data in BigQuery
- Include code examples and practical tips for working with semi-structured data
- Publish the blog post on a relevant platform
BigQuery Code Challenge
Show steps
Participate in a BigQuery code challenge to solve complex data analysis problems and demonstrate your skills.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Find or register for an upcoming BigQuery code challenge
- Review the challenge problem statement and data provided
- Develop a solution using BigQuery SQL and other relevant technologies
- Submit your solution and compete against other participants
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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