Genre: eLearning | MP4 | Video:AVC 1280 x 720| Audio: AAC 48.0 KHzLanguage: English | Size: 11.5 GB | Duration: 6 Hours 11MSome 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 LearnPerforming Data Engineering tasks on AWSDeveloping with Cloud9Writing AWS Lambda functions in PythonImplementing cloud-native Data Engineering patterns, i.e. serverlessArchitecting event-driven architectures on the AWS platform using SQS, Python Lambda, and other AWS technologiesWho Should Take This CourseYou are an aspiring data engineer using PythonYou work with data and want to learn cloud-native data engineering patternsYou are new to the AWS Cloud and want to write functions in Python that do not require serversYou are a data scientist who needs a simpler way to get data engineering resultsYou want to learn about serverless technology and how to accomplish it in PythonCourse RequirementsCan write functions in Python and execute statementsHave a basic understanding of AWS