Serverless Data Processing with Dataflow

开始时间: 12/21/2023 持续时间: Approximately 2 months to complete Suggested pace of 3 hours/week

所在平台: Coursera专项课程

课程主页: https://www.coursera.org/specializations/serverless-data-processing-with-dataflow

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课程详情

What you will learn
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
About this Specialization
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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? 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.
Applied Learning Project
This specialization incorporates hands-on labs using Qwiklabs platform. The labs build on the concepts covered in the course modules. Where applicable, we have provided Java and Python versions of the labs. For labs that require adding/updating code, we have provided a recommended solution for your reference.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Basic understanding of Java or Python programming language
Hours to complete
Approximately 2 months to complete
Suggested pace of 3 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Basic understanding of Java or Python programming language
Hours to complete
Approximately 2 months to complete
Suggested pace of 3 hours/week
Available languages
English
Subtitles: English

课程大纲

Course Link: https://www.coursera.org/learn/serverless-data-processing-with-dataflow-foundations

Name:Serverless Data Processing with Dataflow: Foundations

Description: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 Link: https://www.coursera.org/learn/developing-pipelines-on-dataflow

Name:Serverless Data Processing with Dataflow: Develop Pipelines

Description: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 Link: https://www.coursera.org/learn/serverless-data-processing-with-dataflow-operations

Name:Serverless Data Processing with Dataflow: Operations

Description: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.

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