-
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-inDevelop Pipelines, which covers how you convert our business logic into data processing applications that can run on DataflowOperations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability.
Overview
Syllabus
-
Course 1: Serverless Data Processing with Dataflow: Foundations
- Offered by Google Cloud. This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we ... Enroll for free.
Course 2: Serverless Data Processing with Dataflow: Develop Pipelines
- Offered by Google Cloud. In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines ... Enroll for free.
Course 3: Serverless Data Processing with Dataflow: Operations
- Offered by Google Cloud. In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational ... Enroll for free.
