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?
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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?
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 specialization is intended for customers & partners that are looking to further their understanding of Dataflow to advance their data processing applications.
This specialization 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.
What's inside
Three courses
Serverless Data Processing with Dataflow: Foundations
(0 hours)
Serverless Data Processing with Dataflow: Foundations
(0 hours)
Serverless Data Processing with Dataflow: Develop Pipelines
(0 hours)
Serverless Data Processing with Dataflow: Develop Pipelines
(0 hours)
Serverless Data Processing with Dataflow: Operations
(0 hours)
Serverless Data Processing with Dataflow: Operations
(0 hours)Learning objectives
- Demonstrate how apache beam and cloud dataflow work together to fulfill your organization’s data processing needs
- Write pipelines and advanced components such as utility functions, schemas, and watermarks.
- Perform monitoring, troubleshooting, testing and ci/cd on dataflow pipelines.
- Deploy dataflow pipelines with reliability in mind to maximize stability for your data processing platform
- Demonstrate how apache beam and cloud dataflow work together to fulfill your organization’s data processing needs
- Write pipelines and advanced components such as utility functions, schemas, and watermarks.
- Perform monitoring, troubleshooting, testing and ci/cd on dataflow pipelines.
- Deploy dataflow pipelines with reliability in mind to maximize stability for your data processing platform
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