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Architecting Stream Processing Solutions Using Google Cloud Pub/Sub

Vitthal Srinivasan

Vitthal Srinivasan

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Google Cloud Pub/Sub Stream Processing Data Analytics Real-Time Analytics Big Data Message Queues Architecture Design

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Intended for data engineers and data architects with some familiarity with cloud concepts and Google Cloud Platform

Ideal for individuals looking to build data-driven solutions and explore real-time analytics and data processing on Google Cloud Platform

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Career center

Learners who complete Architecting Stream Processing Solutions Using Google Cloud Pub/Sub will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers build and maintain data pipelines, which are the systems that move data from one place to another. This course will teach you how to use Google Cloud Pub/Sub to ingest and process streaming data, which is a critical skill for Data Engineers. You will also learn how to create snapshots and replay messages, which can be useful for debugging and testing data pipelines.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models, which are used to make predictions and decisions based on data. This course will teach you how to use Google Cloud Pub/Sub to collect and prepare data for machine learning models. You will also learn how to use Pub/Sub to deploy and monitor machine learning models in production.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve business problems. This course will teach you how to use Google Cloud Pub/Sub to collect and analyze streaming data, which can be used to improve customer service, fraud detection, and other business processes. You will also learn how to use advanced features of Pub/Sub, such as creating snapshots and seeking to a specific timestamp, which can be useful for building complex data science models.

See salaries and explore the career path for Data Scientist

Data Architect

Data Architects design data management systems and solutions, which includes choosing the right tools and technologies for the job. Taking this course will help you understand the basics of a Publisher-Subscriber architecture, as well as how to create topics and subscriptions. This knowledge will be essential for designing and implementing data management systems that can handle streaming data.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course will teach you how to use Google Cloud Pub/Sub to build scalable and reliable software applications that can handle streaming data. You will also learn how to use advanced features of Pub/Sub, such as creating snapshots and seeking to a specific timestamp, which can be useful for debugging and testing software applications.

See salaries and explore the career path for Software Engineer

Systems Engineer

Systems Engineers design, build, and maintain computer systems. This course will teach you how to use Google Cloud Pub/Sub to build scalable and reliable computer systems that can handle streaming data. You will also learn how to use advanced features of Pub/Sub, such as creating snapshots and seeking to a specific timestamp, which can be useful for debugging and testing computer systems.

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Cloud Architect

Cloud Architects design and build cloud computing solutions. This course will teach you how to use Google Cloud Pub/Sub to build and maintain cloud computing solutions that can handle streaming data. You will also learn how to use advanced features of Pub/Sub, such as creating snapshots and seeking to a specific timestamp, which can be useful for debugging and testing cloud computing solutions.

See salaries and explore the career path for Cloud Architect

Database Administrator

Database Administrators manage and maintain databases. This course will teach you how to use Google Cloud Pub/Sub to build and maintain databases that can handle streaming data. You will also learn how to use advanced features of Pub/Sub, such as creating snapshots and seeking to a specific timestamp, which can be useful for backing up and restoring databases.

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Security Engineer

Security Engineers design, build, and maintain security systems. This course will teach you how to use Google Cloud Pub/Sub to build and maintain security systems that can handle streaming data. You will also learn how to use advanced features of Pub/Sub, such as creating snapshots and seeking to a specific timestamp, which can be useful for detecting and responding to security breaches.

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Network Engineer

Network Engineers design, build, and maintain computer networks. This course will teach you how to use Google Cloud Pub/Sub to build and maintain computer networks that can handle streaming data. You will also learn how to use advanced features of Pub/Sub, such as creating snapshots and seeking to a specific timestamp, which can be useful for debugging and testing computer networks.

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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 Architecting Stream Processing Solutions Using Google Cloud Pub/Sub.

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Data Science on the Google Cloud Platform

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Focuses on the practical aspects of building real-time data analytics systems using Google Cloud Pub/Sub. It covers topics such as data ingestion, data processing, and data visualization.

Data Science on the Google Cloud Platform:...

Data Science on the Google Cloud Platform:...

Data Science on the Google Cloud Platform

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Advanced Analytics with PySpark

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Focuses on advanced analytics with Apache Spark, including topics such as graph processing, machine learning, and real-time analytics.

Advanced Analytics with PySpark: Patterns for...

Advanced Analytics with PySpark

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Big Data, Big Analytics

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Provides a comprehensive overview of data analytics, including topics such as data mining, machine learning, and data visualization.

Big Data, Big Analytics: Emerging Business...

Big Data, Big Analytics: Emerging Business...

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The The Supervised Learning Workshop

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Focuses on machine learning with streaming data, including topics such as online learning, stream mining, and real-time prediction.

The Supervised Learning Workshop: A New,...

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Big Data Analytics with Java

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Focuses on big data analytics with Java, including topics such as data ingestion, data processing, and data visualization.

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

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

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Hadoop: The Definitive Guide

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Provides a comprehensive overview of Hadoop, including topics such as data storage, data processing, and data analytics.

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

Hadoop: The Definitive Guide

Hadoop: The Definitive Guide

Hadoop: The Definitive Guide

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Vitthal Srinivasan

This course belongs to a collection called Google: Professional Cloud Data Engineer. It's comprised of 18 courses:

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Intended for data engineers and data architects with some familiarity with cloud concepts and Google Cloud Platform

Ideal for individuals looking to build data-driven solutions and explore real-time analytics and data processing on Google Cloud Platform

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