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?\\n\\nEnter 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.\\n\\nThis specialization contains three courses:\\n\\nFoundations, which explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in\\n\\nDevelop Pipelines, which covers how you convert our business logic into data processing applications that can run on Dataflow\\n\\nOperations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability.

Created by: Princeton University & University of Michigan

Language: English

Find Out More

Online Courses

Back to Top

Log In

Contact Us

Upload An Image

Please select an image to upload
Note: must be in .png, .gif or .jpg format
Provide URL where image can be downloaded
Note: must be in .png, .gif or .jpg format

By clicking this button,
you agree to the terms of use

By clicking "Create Alert" I agree to the Uloop Terms of Use.

Image not available.

Add a Photo

Please select a photo to upload
Note: must be in .png, .gif or .jpg format