Data Engineering with Python and AWS Lambda

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Data Engineering with Python and AWS Lambda
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours 11M | 11.5 GB
Genre: eLearning | Language: English

Some of the many benefits of programming with AWS Lambda in Python include no servers to manage, continuous scaling, and subsecond metering. Several use cases include data processing, stream processing, IoT backends, mobile, and web applications.

Learn to take advantage of a new paradigm in software architecture that will make your code easier to write, maintain, and deploy.
AWS Lambda functions are the building blocks for creating sophisticated applications and services on AWS. In this LiveLesson, you learn to use Python to develop Lambda functions that communicate with key AWS services: API Gateway, SQS, and CloudWatch functions. You also learn how a new cloud-based development environment, Cloud9, can streamline writing, debugging, and deploying AWS Lambda functions.
What You Will Learn
Performing Data Engineering tasks on AWS
Developing with Cloud9
Writing AWS Lambda functions in Python
Implementing cloud-native Data Engineering patterns, i.e. serverless
Architecting event-driven architectures on the AWS platform using SQS, Python Lambda, and other AWS technologies
Who Should Take This Course
You are an aspiring data engineer using Python
You work with data and want to learn cloud-native data engineering patterns
You are new to the AWS Cloud and want to write functions in Python that do not require servers
You are a data scientist who needs a simpler way to get data engineering results
You want to learn about serverless technology and how to accomplish it in Python
Course Requirements
Can write functions in Python and execute statements
Have a basic understanding of AWS
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Code:

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