OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Automating your BigQuery Data Pipeline with Cloud Dataprep

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

In this lab, you will examine how Dataprep can be used on complicated data structures in BigQuery.

Enroll now

What's inside

Syllabus

Automating your BigQuery Data Pipeline with Cloud Dataprep

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Automates the BigQuery data pipeline with Cloud Dataprep, a valuable skill in data management and analysis
Leverages Google Cloud console for the lab component, providing hands-on experience with tools and platforms used in the industry
Designed for learners with knowledge of BigQuery and data manipulation, making it suitable for intermediate to advanced learners
May require prior experience in working with structured and semi-structured data, which may limit accessibility for beginners

Save this course

Save Automating your BigQuery Data Pipeline with Cloud Dataprep to your list so you can find it easily later:
Save

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 Automating your BigQuery Data Pipeline with Cloud Dataprep with these activities:
Review SQL basics
Revisit SQL to strengthen your foundation and ensure a smoother learning experience in this course.
Browse courses on SQL
Show steps
  • Review online tutorials or documentation on SQL syntax and concepts.
  • Practice writing basic SQL queries using an online SQL editor or tool.
Join a Study Group or Discussion Forum
Engage with other learners to share knowledge, discuss concepts, and clarify doubts.
Show steps
  • Identify online or in-person study groups or discussion forums related to this course.
  • Join the group and actively participate in discussions.
  • Ask questions, share insights, and collaborate with other learners.
Explore Dataprep tutorials
Familiarize yourself with the capabilities of Dataprep by following guided tutorials provided by Google Cloud.
Browse courses on Dataprep
Show steps
  • Visit the Google Cloud Dataprep documentation and explore the available tutorials.
  • Complete the tutorial on transforming complex data structures in BigQuery.
  • Optional: Explore additional tutorials on topics that align with your interests or learning goals.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Data Transformation Exercises
Reinforce your understanding of data transformation techniques by completing hands-on exercises.
Browse courses on Data Transformation
Show steps
  • Find online resources or platforms that provide data transformation exercises.
  • Select exercises that cover topics relevant to this course, such as working with nested and complex data structures.
  • Complete the exercises and review your results to identify areas for improvement.
Read 'Data Wrangling with Python'
Expand your knowledge of data wrangling techniques with a comprehensive book that covers Python-based solutions.
View Python for Data Analysis: Data Wrangling with... on Amazon
Show steps
  • Obtain a copy of the book.
  • Read through the chapters relevant to data wrangling and transformation.
  • Optional: Complete the exercises and examples provided in the book.
Develop a Data Pipeline with Cloud Dataprep
Apply your skills to a practical project by creating a data pipeline that utilizes Cloud Dataprep for data transformation.
Browse courses on Data Pipeline
Show steps
  • Define the scope and purpose of your data pipeline.
  • Design the data flow and transformation logic using Cloud Dataprep.
  • Implement and test the data pipeline.
  • Document and share your findings.
Contribute to the Cloud Dataprep Community
Deepen your understanding of Dataprep and contribute to the community by participating in open-source projects.
Show steps
  • Explore open-source projects related to Cloud Dataprep on platforms like GitHub.
  • Identify areas where you can contribute, such as bug fixes or feature enhancements.
  • Submit your contributions and engage with the community.

Career center

Learners who complete Automating your BigQuery Data Pipeline with Cloud Dataprep will develop knowledge and skills that may be useful to these careers:
Big Data Engineer
A Big Data Engineer is responsible for designing and managing big data systems. With the help of Cloud Dataprep, this course could help you to automate your BigQuery data pipeline. This could lead to a more efficient and streamlined data management process.
See salaries and explore the career path for Big Data Engineer
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data. This course could help you to automate your BigQuery data pipeline and improve the quality of your data analysis.
See salaries and explore the career path for Data Analyst
Data Engineer
A Data Engineer is responsible for designing and managing data pipelines. This course could help you to automate your BigQuery data pipeline in order to more efficiently manage your data.
See salaries and explore the career path for Data Engineer
Data Scientist
A Data Scientist is responsible for developing and applying statistical models to data. This course could help you to automate your BigQuery data pipeline and improve the accuracy of your models.
See salaries and explore the career path for Data Scientist
Database Administrator
A DBA is responsible for managing and maintaining databases. This course could help you to automate your BigQuery data pipeline and improve the performance of your database.
See salaries and explore the career path for Database Administrator
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations. This course may help you to automate your BigQuery data pipeline, which could help you to streamline your DevOps processes.
See salaries and explore the career path for DevOps Engineer
Software Engineer
A Software Engineer is responsible for designing and developing software applications. This course may help you to automate your BigQuery data pipeline, which in turn could help streamline your software development process.
See salaries and explore the career path for Software Engineer
Systems Engineer
A Systems Engineer is responsible for designing and managing computer systems. This course may help you to automate your BigQuery data pipeline, which could help ensure that your systems are running at peak efficiency.
See salaries and explore the career path for Systems Engineer
Data Architect
A Data Architect is responsible for designing and managing data architectures. This course may help you to automate your BigQuery data pipeline, which could help you to create a more efficient and scalable data architecture.
See salaries and explore the career path for Data Architect
Network Administrator
A Network Administrator is responsible for managing and maintaining computer networks. This course may help you to automate your BigQuery data pipeline, which could help to improve the efficiency of your network.
See salaries and explore the career path for Network Administrator
Cloud Architect
A Cloud Architect is responsible for designing and managing cloud computing systems. This course may help you to automate your BigQuery data pipeline, which could help to improve the performance of your cloud applications.
See salaries and explore the career path for Cloud Architect
Information Security Analyst
An Information Security Analyst is responsible for protecting information from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may help you to automate your BigQuery data pipeline, which could help you to improve the security of your data.
See salaries and explore the career path for Information Security Analyst
Cybersecurity Analyst
A Cybersecurity Analyst is responsible for protecting computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may help you to automate your BigQuery data pipeline, which could help you to improve the cybersecurity of your organization.
See salaries and explore the career path for Cybersecurity Analyst
IT Project Manager
An IT Project Manager is responsible for planning and managing IT projects. This course may help you to automate your BigQuery data pipeline, which could help you to ensure that your projects are delivered on time and within budget.
See salaries and explore the career path for IT Project Manager
Business Analyst
A Business Analyst is responsible for understanding and analyzing business processes. This course may help you to automate your BigQuery data pipeline, which could help you to gain insights into your business and improve your decision-making.
See salaries and explore the career path for Business Analyst

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 Automating your BigQuery Data Pipeline with Cloud Dataprep.
Cover image
Secret Colors
Save
Provides a comprehensive guide to designing and building data-intensive applications. It's a valuable resource for anyone who wants to learn more about how to design and build scalable, reliable, and efficient data-intensive applications.
Secret Colors
Paperback
Check
Secret Colors
Kindle Edition
Check
Cover image
Architecting Data and Machine Learning Platforms
Save
Provides a comprehensive guide to using Apache Airflow to build and manage data pipelines. It's a valuable resource for anyone who wants to learn more about how to use Airflow to automate and orchestrate data processing tasks.
Architecting Data and Machine Learning Platforms:...
Paperback
$$
Architecting Data and Machine Learning Platforms
Kindle Edition
$$
Cover image
Introduction to Machine Learning with Python
Save
Provides a comprehensive guide to machine learning with Python. It's a valuable resource for anyone who wants to learn more about how to use Python to develop and deploy machine learning models.
Introduction to Machine Learning with Python: A...
Kindle Edition
$$
Cover image
Deep Learning
Save
Provides a comprehensive guide to deep learning. It's a valuable resource for anyone who wants to learn more about the fundamentals of deep learning.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Data Science from Scratch
Save
Provides a comprehensive guide to data science. It's a valuable resource for anyone who wants to learn more about the fundamentals of data science.
Data Science from Scratch: First Principles with...
Paperback
$$
Data Science from Scratch: First Principles with...
Kindle Edition
$$
Data Science from Scratch: First Principles with...
Paperback
$$
Cover image
The Elements of Statistical Learning
Save
Provides a comprehensive guide to statistical learning. It's a valuable resource for anyone who wants to learn more about the fundamentals of statistical learning.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Probabilistic Machine Learning
Save
Provides a comprehensive guide to machine learning from a probabilistic perspective. It's a valuable resource for anyone who wants to learn more about the fundamentals of machine learning.
Probabilistic Machine Learning: Advanced Topics...
Hardcover
$$$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Automating your BigQuery Data Pipeline with Cloud Dataprep.
Configuring and Deploying Windows SQL Server on Google...
Developing with Cloud Run
Set Up and Configure a Cloud Environment in Google Cloud ...
Analyzing Natality Data Using Vertex AI and BigQuery
Exploring the Public Cryptocurrency Datasets Available in...
Building Demand Forecasting with BigQuery ML
Datadog: Getting started with the Helm Chart
The Electronics Workbench: a Setup Guide
Set Up and Configure a Cloud Environment in Google Cloud ...
Course image
Effort
1 hour 30 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Automates the BigQuery data pipeline with Cloud Dataprep, a valuable skill in data management and analysis
Leverages Google Cloud console for the lab component, providing hands-on experience with tools and platforms used in the industry
Designed for learners with knowledge of BigQuery and data manipulation, making it suitable for intermediate to advanced learners
May require prior experience in working with structured and semi-structured data, which may limit accessibility for beginners
Share and help others discover this course.
Facebook LinkedIn X Reddit Link Email
Don't miss out
Enroll today to gain access to this course
Enroll in this course
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser