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Serverless Data Processing with Dataflow

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Total Duration
5 Hours

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?

Courses in this Learning Path
1
Serverless Data Processing with Dataflow: Foundations
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Duration : 46 minutes
Price :₹1,499
Level :Intermediate
Learn Type :Certification
Serverless Data Processing with Dataflow: Foundations

This is the first part of a 3-course series about Serverless Data Processing with Dataflow.We start this course with refreshers on:What Apache Beam is, and how it relates to DataflowApache Beam vision and benefits of the Beam Portability Framework. The Beam Portability framework enables developers to use their preferred programming language with their preferred execution backend.Dataflow lets …

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2
Serverless Data Processing with Dataflow: Develop Pipelines
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Duration : 118 minutes
Price :₹1,499
Level :Advanced
Learn Type :Certification
Serverless Data Processing with Dataflow: Develop Pipelines

This is the second installment in the Dataflow course series. We will be going deeper into developing pipelines with the Beam SDK. Let's start by reviewing the Apache Beam concepts. Next we will discuss streaming data processing using windows, watermarks, and triggers. Next, we will discuss the options for sources and sinks within your pipelines. We also discuss schemas that can be used to …

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3
Serverless Data Processing with Dataflow: Operations
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Duration : 115 minutes
Price :₹1,499
Level :Advanced
Learn Type :Certification
Serverless Data Processing with Dataflow: Operations

The last installment in the Dataflow course series will present the components of Dataflow's operational model. We will discuss tools and techniques to optimize pipeline performance and troubleshoot problems. Next, we will review best practices in testing, deployment, reliability, and maintenance of Dataflow pipelines. We'll end with a discussion on Templates. This makes it possible to scale …

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