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Joseph Lowery
I’m pretty sure you’d agree with me if I said the world runs on data — especially the digital world — and the amount of data is ever-increasing. One way to really get your head around all that information is through data pipelines. Data pipelines pull in the data from a variety of sources, whip it into shape, and then toss it out to other services for storage, analysis, and/or visualization. As you’ll discover in this course, Google Cloud Dataflow is a best-in-class fully managed data processing service, ideal for all your data pipeline needs. Join me as we get hands-on with Dataflow.
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Develops data processing skills for data pipelines, which are essential in today's data-driven world
Taught by Joseph Lowery, an experienced professional in the field of data engineering
Explores Google Cloud Dataflow, a leading data processing service
Involves hands-on exercises, providing practical experience in data pipeline development
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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 Hands-On with Dataflow with these
activities:
Identify mentors in the field of data pipelines
Show steps
Connects you with experienced professionals who can provide personalized guidance and support, accelerating your learning.
Browse courses on
Data Pipelines
Show steps
-
Attend industry events or join online communities.
-
Reach out to individuals working in the field of data pipelines.
Review data pipeline basics
Show steps
Builds a strong foundation in data pipelines, setting you up for success in this course.
Browse courses on
Data Pipelines
Show steps
-
Read an introductory article or blog post on data pipelines.
-
Watch a video tutorial on the basics of data pipelines.
Join a study group or discussion forum on data pipelines
Show steps
Creates opportunities for collaboration and knowledge sharing, fostering a deeper understanding of data pipelines.
Browse courses on
Data Pipelines
Show steps
-
Find a study group or discussion forum focused on data pipelines.
-
Participate actively in discussions, sharing your insights and learning from others.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on Google Cloud Dataflow
Show steps
Provides hands-on experience with Google Cloud Dataflow, the focus of this course, enhancing your practical understanding.
Browse courses on
Google Cloud Dataflow
Show steps
-
Identify a series of tutorials on Google Cloud Dataflow.
-
Follow the tutorials step-by-step, completing all exercises.
Solve coding exercises on data pipelines
Show steps
Strengthens your coding skills in the context of data pipelines, improving your understanding and proficiency.
Browse courses on
Data Pipelines
Show steps
-
Find a set of coding exercises on data pipelines.
-
Solve the exercises, checking your solutions against provided answers.
Build a simple data pipeline using Google Cloud Dataflow
Show steps
Challenges you to apply your knowledge by creating a functional data pipeline, solidifying your understanding and skills.
Browse courses on
Google Cloud Dataflow
Show steps
-
Plan and design your data pipeline.
-
Implement your pipeline using Google Cloud Dataflow.
-
Test and evaluate the performance of your pipeline.
Contribute to open-source data pipeline projects
Show steps
Provides practical experience in real-world data pipeline scenarios, enhancing your problem-solving abilities and industry knowledge.
Browse courses on
Data Pipelines
Show steps
-
Identify open-source data pipeline projects.
-
Contribute to the projects by fixing bugs, adding features, or improving documentation.
Identify mentors in the field of data pipelines
Show steps
Connects you with experienced professionals who can provide personalized guidance and support, accelerating your learning.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Attend industry events or join online communities.
- Reach out to individuals working in the field of data pipelines.
Review data pipeline basics
Show steps
Builds a strong foundation in data pipelines, setting you up for success in this course.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Read an introductory article or blog post on data pipelines.
- Watch a video tutorial on the basics of data pipelines.
Join a study group or discussion forum on data pipelines
Show steps
Creates opportunities for collaboration and knowledge sharing, fostering a deeper understanding of data pipelines.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Find a study group or discussion forum focused on data pipelines.
- Participate actively in discussions, sharing your insights and learning from others.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on Google Cloud Dataflow
Show steps
Provides hands-on experience with Google Cloud Dataflow, the focus of this course, enhancing your practical understanding.
Browse courses on
Google Cloud Dataflow
Show steps
Show steps
Show steps
- Identify a series of tutorials on Google Cloud Dataflow.
- Follow the tutorials step-by-step, completing all exercises.
Solve coding exercises on data pipelines
Show steps
Strengthens your coding skills in the context of data pipelines, improving your understanding and proficiency.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Find a set of coding exercises on data pipelines.
- Solve the exercises, checking your solutions against provided answers.
Build a simple data pipeline using Google Cloud Dataflow
Show steps
Challenges you to apply your knowledge by creating a functional data pipeline, solidifying your understanding and skills.
Browse courses on
Google Cloud Dataflow
Show steps
Show steps
Show steps
- Plan and design your data pipeline.
- Implement your pipeline using Google Cloud Dataflow.
- Test and evaluate the performance of your pipeline.
Contribute to open-source data pipeline projects
Show steps
Provides practical experience in real-world data pipeline scenarios, enhancing your problem-solving abilities and industry knowledge.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Identify open-source data pipeline projects.
- Contribute to the projects by fixing bugs, adding features, or improving documentation.
Career center
Learners who complete Hands-On with Dataflow will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/0l637o/hands
Reading list
We've selected six 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
Hands-On with Dataflow.
Provides a comprehensive overview of Google Cloud Platform services for data engineering, including Dataflow.
Provides a comprehensive introduction to big data analytics using Java, covering topics such as data ingestion, processing, and visualization.
Provides a hands-on approach to learning big data analytics, covering topics such as data ingestion, processing, and visualization.
Provides a comprehensive guide to using Python for data science, covering topics such as data manipulation, analysis, and visualization.
Classic reference on Apache Hadoop, the open-source distributed computing framework that underlies Google Cloud Dataflow.
Provides a comprehensive introduction to data science, including concepts such as data mining and data-analytic thinking.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0l637o/hands
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Time
180 hours
Level
Advanced
Via
Pluralsight
Instructor
Joseph Lowery
Language
English
Good to know
Develops data processing skills for data pipelines, which are essential in today's data-driven world
Taught by Joseph Lowery, an experienced professional in the field of data engineering
Explores Google Cloud Dataflow, a leading data processing service
Involves hands-on exercises, providing practical experience in data pipeline development
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