Data Engineering with Python and AWS Lambda
Data Engineering with Python and AWS Lambda LiveLessons (Video Training)
- By Noah Gift, Robert Jordan, Kennedy Behrman
- Published Jan 2, 2020 by Addison-Wesley Professional.
- Copyright 2020
- Pages: 384
- Edition: 1st
- Online Video
- ISBN-10: 0-13-596429-6
- ISBN-13: 978-0-13-596429-3
7 Hours of Video Instruction
Data Engineering with Python and AWS Lambda LiveLessons shows users how to build complete and powerful data engineering pipelines in the same language that Data Scientists use to build Machine Learning models.
By embracing serverless data engineering in Python, you can build highly scalable distributed systems on the back of the AWS backplane.
Users learn to think in the new paradigm of serverless, which means to embrace events and event-driven programs that replace expensive and complicated servers.
Description
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
About Pearson Video Training
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed.
Video Lessons are available for download for offline viewing within the streaming format.
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