3.8 out of 5
3.8
94 reviews on Udemy

Serverless Data Processing on AWS

Key components you need to architect serverless solutions; Learn how to build streaming data processing pipeline
Instructor:
AWS, a subsidiary of Amazon.com
1,055 students enrolled
English [Auto-generated]
Articulate what is serverless computing
Identify the value of serverless computing and AWS serverless platform
Build streaming data processing pipeline

Serverless Data Processing on AWS provides introduction to serverless architecture. It will walk you through the AWS serverless platform and discuss some use cases that are commonly addressed with serverless solutions. You will learn the two core components of the AWS serverless platform: AWS Lambda and Amazon DynamoDB. Then it will discuss how to build data process architecture using Lambda, Dynamo DB, S3 and Kinesis. Finally, you will watch a demo building streaming data processing pipeline using the AWS console.

Course Introduction

1
Course Introduction

Introduction to Serverless Solutions

1
Introduction to Serverless Solutions

AWS Lambda and Amazon DynamoDB

1
AWS Lambda
2
Amazon DynamoDB

Data Processing

1
Data Processing

Demo: Build Streaming Data Processing Pipeline

1
Demo: Build Streaming Data Processing Pipeline
2
Practice Test for Serverless Data Processing on AWS

This test assesses the knowledge of serverless architecture, key components of AWS serverless architecture, data processing and building streaming data processing pipeline.

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3.8
3.8 out of 5
94 Ratings

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Includes

1 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion