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Loading Your Own Data into BigQuery
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
This lab teaches you how to ingest data from a CSV file into tables in BigQuery.
Register for this course and see more details by visiting:
OpenCourser.com/course/zo59vw/loading
What's inside
Syllabus
Loading Your Own Data into BigQuery
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Focuses on essential data ingestion techniques for BigQuery
Taught by Google Cloud Training, an organization recognized for its expertise in cloud computing
Emphasizes practical skills through hands-on labs within the Google Cloud console
Builds a solid foundation for understanding data ingestion pipelines in BigQuery
Save this course
Save Loading Your Own Data into BigQuery to your list so you can find it easily later:
Save
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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 Loading Your Own Data into BigQuery with these
activities:
Review SQL basics
Show steps
Reviewing SQL basics will give you a strong foundation for understanding how to load data into BigQuery.
Browse courses on
SQL
Show steps
-
Review syntax for creating tables, inserting data, and querying data.
-
Practice writing SQL queries to select, filter, and aggregate data.
Follow a tutorial on loading data into BigQuery
Show steps
Following a tutorial will provide you with step-by-step instructions on how to load data into BigQuery from different sources.
Browse courses on
BigQuery
Show steps
-
Find a tutorial that aligns with your data source (e.g., CSV file, Cloud Storage bucket).
-
Follow the tutorial's instructions to load your data into BigQuery.
Attend a BigQuery meetup or conference
Show steps
Connecting with other BigQuery users will allow you to learn from their experiences and stay informed about the latest trends.
Browse courses on
BigQuery
Show steps
-
Find a BigQuery meetup or conference in your area.
-
Attend the event and engage with other attendees.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice loading data into BigQuery from different sources
Show steps
Practicing loading data from different sources will help you develop proficiency in using BigQuery for data ingestion.
Browse courses on
BigQuery
Show steps
-
Create a dataset and table in BigQuery.
-
Load data into the table from a CSV file using the bq command-line tool.
-
Load data into the table from a Cloud Storage bucket using the Google Cloud console.
Contribute to the BigQuery community by reporting bugs or suggesting improvements
Show steps
Participating in the BigQuery community will give you insights into best practices and help you stay up-to-date on the latest developments.
Browse courses on
BigQuery
Show steps
-
Find the BigQuery repository on GitHub.
-
Review the issue tracker and identify a bug or improvement opportunity.
-
Create a GitHub issue or pull request to contribute your findings.
Create a data pipeline to load data into BigQuery on a regular basis
Show steps
Creating a data pipeline will automate the process of loading data into BigQuery, ensuring that your data is always up-to-date.
Browse courses on
BigQuery
Show steps
-
Design the data pipeline architecture.
-
Use Cloud Scheduler to trigger the data pipeline on a regular basis.
-
Develop the code to load data into BigQuery.
-
Test and deploy the data pipeline.
Review SQL basics
Show steps
Reviewing SQL basics will give you a strong foundation for understanding how to load data into BigQuery.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review syntax for creating tables, inserting data, and querying data.
- Practice writing SQL queries to select, filter, and aggregate data.
Follow a tutorial on loading data into BigQuery
Show steps
Following a tutorial will provide you with step-by-step instructions on how to load data into BigQuery from different sources.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Find a tutorial that aligns with your data source (e.g., CSV file, Cloud Storage bucket).
- Follow the tutorial's instructions to load your data into BigQuery.
Attend a BigQuery meetup or conference
Show steps
Connecting with other BigQuery users will allow you to learn from their experiences and stay informed about the latest trends.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Find a BigQuery meetup or conference in your area.
- Attend the event and engage with other attendees.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice loading data into BigQuery from different sources
Show steps
Practicing loading data from different sources will help you develop proficiency in using BigQuery for data ingestion.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Create a dataset and table in BigQuery.
- Load data into the table from a CSV file using the bq command-line tool.
- Load data into the table from a Cloud Storage bucket using the Google Cloud console.
Contribute to the BigQuery community by reporting bugs or suggesting improvements
Show steps
Participating in the BigQuery community will give you insights into best practices and help you stay up-to-date on the latest developments.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Find the BigQuery repository on GitHub.
- Review the issue tracker and identify a bug or improvement opportunity.
- Create a GitHub issue or pull request to contribute your findings.
Create a data pipeline to load data into BigQuery on a regular basis
Show steps
Creating a data pipeline will automate the process of loading data into BigQuery, ensuring that your data is always up-to-date.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Design the data pipeline architecture.
- Use Cloud Scheduler to trigger the data pipeline on a regular basis.
- Develop the code to load data into BigQuery.
- Test and deploy the data pipeline.
Career center
Learners who complete Loading Your Own Data into BigQuery will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to build predictive models and solve complex problems. BigQuery is a powerful tool for data science, and this course can help you develop the skills you need to become a Data Scientist. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain the machine learning models that power many of today's most popular applications. BigQuery is a popular tool for machine learning, and this course can help you develop the skills you need to become a Machine Learning Engineer. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Business Analyst
Business Analyst
Business Analysts use data to help businesses solve problems and make better decisions. Many Business Analysts rely on BigQuery to gather and analyze large datasets. This course can help you develop the skills you need to use BigQuery to find insights in data. After completing this course, you'll be able to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Statistician
Statistician
Statisticians use data to make predictions and draw conclusions. BigQuery is a popular tool for statistics, and this course can help you develop the skills you need to become a Statistician. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Data Architect
Data Architect
Data Architects design and build the data infrastructure that supports businesses. BigQuery is a popular tool for data architecture, and this course can help you develop the skills you need to become a Data Architect. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. BigQuery is a popular tool for software development, and this course can help you develop the skills you need to become a Software Engineer. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Data Analyst
Data Analyst
Data Analysts use their expertise in a particular industry to transform raw data into insights that help businesses make better decisions. BigQuery is a powerful tool for data analysis, and this course can help you develop the skills you need to become a successful Data Analyst. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Database Administrator
Database Administrator
Database Administrators maintain and optimize databases. BigQuery is a popular database, and this course can help you develop the skills you need to become a Database Administrator. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. BigQuery is a popular tool for financial analysis, and this course can help you develop the skills you need to become a Financial Analyst. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that allows businesses to store, process, and analyze data. BigQuery is a popular tool for data engineering, and this course can help you develop the skills you need to become a Data Engineer. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Actuary
Actuary
Actuaries use data to assess risk and uncertainty. BigQuery is a popular tool for actuarial science, and this course can help you develop the skills you need to become an Actuary. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Epidemiologist
Epidemiologist
Epidemiologists use data to study the causes of disease and injury. BigQuery is a popular tool for epidemiology, and this course can help you develop the skills you need to become an Epidemiologist. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Biostatistician
Biostatistician
Biostatisticians use data to design and analyze studies that investigate the effects of treatments and interventions. BigQuery is a popular tool for biostatistics, and this course can help you develop the skills you need to become a Biostatistician. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior and trends. BigQuery is a popular tool for market research, and this course can help you develop the skills you need to become a Market Researcher. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
Data Journalist
Data Journalist
Data Journalists use data to tell stories and inform the public. BigQuery is a popular tool for data journalism, and this course can help you develop the skills you need to become a Data Journalist. After completing this course, you'll have a better understanding of how to use BigQuery to load, clean, and analyze data. You'll also be able to create visualizations that help communicate your findings to others.
For more career information including salaries, visit:
OpenCourser.com/course/zo59vw/loading
Reading list
We've selected five 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
Loading Your Own Data into BigQuery.
Provides a comprehensive overview of Hadoop. It covers topics such as data storage, data processing, and data analysis. While Hadoop is mentioned, this text provides relevant concepts and background while not being specific to Hadoop.
Provides a comprehensive overview of Spark. It covers topics such as data storage, data processing, and data analysis. While Spark is mentioned, this text provides relevant concepts and background while not being specific to Spark.
Provides a practical guide to data science for business. It covers topics such as data collection, data analysis, and data visualization. It valuable resource for anyone who wants to learn more about data science for business.
Provides a practical guide to machine learning for business. It covers topics such as data preprocessing, model training, and model evaluation. It valuable resource for anyone who wants to learn more about machine learning for business.
Guide to using BigQuery for finance.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zo59vw/loading
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Effort
1.5 hours
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
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Language
English
Good to know
Focuses on essential data ingestion techniques for BigQuery
Taught by Google Cloud Training, an organization recognized for its expertise in cloud computing
Emphasizes practical skills through hands-on labs within the Google Cloud console
Builds a solid foundation for understanding data ingestion pipelines in BigQuery
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