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Serverless Data Processing with Dataflow

  • Number of Courses3 courses
  • Duration5 hours

It is becoming harder and harder to maintain a technology stack that can keep up with the growing demands of a data-driven business. Every Big Data practitioner is familiar with the three V’s of Big Data: volume, velocity, and variety. What if there was a scale-proof technology that was designed to meet these demands?

Enter Google Cloud Dataflow. Google Cloud Dataflow simplifies data processing by unifying batch & stream processing and providing a serverless experience that allows users to focus on analytics, not infrastructure. This skill path is intended for customers & partners that are looking to further their understanding of Dataflow to advance their data processing applications.

This skill path contains three courses:

  • Foundations, which explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in
  • Develop Pipelines, which covers how you convert our business logic into data processing applications that can run on Dataflow
  • Operations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability

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