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Hands-On with Dataflow

Joseph Lowery

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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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.

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Architecting Data and Machine Learning Platforms

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Provides a comprehensive overview of Google Cloud Platform services for data engineering, including Dataflow.

Architecting Data and Machine Learning Platforms:...

Architecting Data and Machine Learning Platforms

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Big Data Analytics with Java

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Provides a comprehensive introduction to big data analytics using Java, covering topics such as data ingestion, processing, and visualization.

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Big Data Analytics with Java: Data analysis,...

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Big Data Science & Analytics

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Provides a hands-on approach to learning big data analytics, covering topics such as data ingestion, processing, and visualization.

Big Data Science & Analytics

Big Data Science & Analytics

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Python Data Science Handbook

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Provides a comprehensive guide to using Python for data science, covering topics such as data manipulation, analysis, and visualization.

Python Data Science Handbook: Essential Tools for...

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Hadoop: The Definitive Guide

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Classic reference on Apache Hadoop, the open-source distributed computing framework that underlies Google Cloud Dataflow.

Hadoop: The Definitive Guide: Storage and Analysis...

Hadoop: The Definitive Guide

Hadoop: The Definitive Guide

Hadoop: The Definitive Guide

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Data Science for Business

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Provides a comprehensive introduction to data science, including concepts such as data mining and data-analytic thinking.

Data Science for Business: What You Need to Know...

Data Science for Business: What You Need to Know...

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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

Share and help others discover this course

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