Serverless Data Processing with Dataflow
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?
Read more
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
Save this collection
Save
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
