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Data Engineering with Python and AWS Lambda

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1.64 GB

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05-11-2023 17:05

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TutsNode.org.txt	63.00 B
[TGx]Downloaded from torrentgalaxy.to .txt	585.00 B
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Introduction/001. Data Engineering with Python and AWS Lambda LiveLessons Introduction.mp4	36.29 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 1 Get Started with AWS Lambda/001. 1.1 Create a Hello World AWS Lambda function in the console.mp4	23.41 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 1 Get Started with AWS Lambda/002. 1.2 Learn basic Lambda patterns.mp4	21.73 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 1 Get Started with AWS Lambda/003. 1.3 Learn Lambda Management console.mp4	29.11 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 1 Get Started with AWS Lambda/004. 1.4 Upload external code to AWS Lambda.mp4	25.41 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 10 Build APIs with API Gateway/001. 10.1 Use API Gateway.mp4	59.99 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 10 Build APIs with API Gateway/002. 10.2 Integrate Lambda and API Gateway best practices.mp4	83.04 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 11 Authenticate APIs with AWS Cognito/001. 11.1 Begin Cognito authentication.mp4	2.45 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 11 Authenticate APIs with AWS Cognito/002. 11.2 Use Cognito User Pools.mp4	37.96 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 11 Authenticate APIs with AWS Cognito/003. 11.3 Use Cognito authentication with API Gateway.mp4	19.50 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 11 Authenticate APIs with AWS Cognito/004. 11.4 Use Federated Identity.mp4	17.58 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 12 Use Serverless Datastores/001. 12.1 Use DynamoDB for data engineering.mp4	18.51 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 12 Use Serverless Datastores/002. 12.2 Use Amazon Athena for data engineering.mp4	15.36 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 12 Use Serverless Datastores/003. 12.3 Use Amazon EMR for data engineering.mp4	12.59 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 12 Use Serverless Datastores/004. 12.4 Use Amazon EFS for data engineering.mp4	10.73 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 13 Create Serverless Business Intelligence and AutoML/001. 13.1 Integrate Amazon Quicksite.mp4	13.04 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 13 Create Serverless Business Intelligence and AutoML/002. 13.2 Integrate Lambda with AI APIs.mp4	25.94 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 13 Create Serverless Business Intelligence and AutoML/003. 13.3 Integrate Lambda with Sagemaker.mp4	23.16 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 14 Create Serverless Data Streaming/001. 14.1 Use Kinesis Streams.mp4	34.27 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 14 Create Serverless Data Streaming/002. 14.2 Use Computer Vision Streams.mp4	11.59 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 15 Case Studies/001. 15.1 Compare AWS Lambda with Google Cloud Functions.mp4	9.04 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 15 Case Studies/002. 15.2 Use GCP Cloud Functions with Pub Sub + Cloud Scheduler.mp4	31.43 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 15 Case Studies/003. 15.3 Use Chalice framework.mp4	18.83 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 15 Case Studies/004. 15.4 Push versus Pull Architecture.mp4	44.82 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 15 Case Studies/005. 15.5 Principles of DevOps.mp4	52.27 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 15 Case Studies/006. 15.6 Principles of cloud computing.mp4	71.50 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 15 Case Studies/007. 15.7 Summary of serverless computing.mp4	35.51 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 15 Case Studies/008. 15.8 Managing Packages in AWS Lambda.mp4	16.24 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 15 Case Studies/009. 15.9 Multi-cloud solutions.mp4	21.79 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 16 Course Summary/001. 16.1 Course summary.mp4	25.01 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 2 Use Cloud9 to Develop Python Lambda Functions/001. 2.1 Set up Cloud9.mp4	19.16 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 2 Use Cloud9 to Develop Python Lambda Functions/002. 2.2 Develop with Cloud9.mp4	14.68 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 2 Use Cloud9 to Develop Python Lambda Functions/003. 2.3 Launch Cloud9 and workspace configuration.mp4	14.05 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 2 Use Cloud9 to Develop Python Lambda Functions/004. 2.4 Import Lambda functions.mp4	13.77 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 2 Use Cloud9 to Develop Python Lambda Functions/005. 2.5 Invoke Lambda functions.mp4	19.04 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 2 Use Cloud9 to Develop Python Lambda Functions/006. 2.6 Invoke Lambda functions inside API Gateway.mp4	30.49 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 2 Use Cloud9 to Develop Python Lambda Functions/007. 2.7 Deploy a Lambda function.mp4	16.96 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 3 Create Timed Lambda Functions/001. 3.1 Use AWS Lambda with Cloudwatch events.mp4	19.84 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 3 Create Timed Lambda Functions/002. 3.2 Use AWS Lambda to populate AWS SQS.mp4	71.77 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 3 Create Timed Lambda Functions/003. 3.3 Use AWS Cloudwatch logging with AWS Lambda.mp4	19.66 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 4 Create Event-Driven Lambdas/001. 4.1 Create a Producer Lambda function.mp4	48.50 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 4 Create Event-Driven Lambdas/002. 4.2 Enable SQS Trigger.mp4	20.29 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 4 Create Event-Driven Lambdas/003. 4.3 Serverless data engineering architecture.mp4	36.61 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 5 Learn SAM Local/001. 5.1 Install SAM Local.mp4	19.60 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 5 Learn SAM Local/002. 5.3 Use SAM to package and deploy Lambda.mp4	20.62 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 5 Learn SAM Local/003. 5.2 Use SAM Local to invoke functions locally.mp4	9.37 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 5 Learn SAM Local/004. 5.5 Use SAM Lambda environment variables.mp4	22.79 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 5 Learn SAM Local/005. 5.4 Use SAM with IAM.mp4	23.64 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 6 Learn AWS Glue/001. 6.1 What is AWS Glue.mp4	13.11 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 6 Learn AWS Glue/002. 6.2 Use AWS Glue.mp4	14.26 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 7 Create State Machines with Step Functions/001. 7.1 Learn step functions.mp4	38.85 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 7 Create State Machines with Step Functions/002. 7.2 Use Amazon States Language.mp4	32.07 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 7 Create State Machines with Step Functions/003. 7.3 Step functions demo.mp4	72.38 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 8 Use Step Functions with AWS Services/001. 8.1 Learn integration with other AWS products.mp4	19.66 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 8 Use Step Functions with AWS Services/002. 8.2 Use DynamoDB with step functions.mp4	22.13 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 8 Use Step Functions with AWS Services/003. 8.3 Use AWS ECSFargate with step functions.mp4	37.95 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 8 Use Step Functions with AWS Services/004. 8.4 Use AWS Callback Pattern.mp4	18.89 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 9 Serverless Relational Databases/001. 9.1 Serverless relational databases.mp4	20.44 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 9 Serverless Relational Databases/002. 9.2 Use Aurora Serverless.mp4	15.48 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 9 Serverless Relational Databases/003. 9.3 Use Data API for Aurora Serverless.mp4	19.41 MB
[TutsNode.org] - Data Engineering with Python and AWS Lambda/Lesson 9 Serverless Relational Databases/004. 9.4 Use stored procedures to invoke Lambda.mp4	45.27 MB

Description

Description

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.

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.

About the InstructorsNoah Gift Pragmatic AI: An Introduction to Cloud-Based Machine Learning

Robert Jordan is a visionary architect with more than 20 years of experience designing, implementing, and deploying production applications for some of the world’s largest media and scientific customers. He has successfully led projects on all major cloud platforms and is currently certified on both AWS and GCP platforms.

Kennedy Behrman is a veteran consultant specializing in architecting and implementing cloud solutions for early-stage startups. He is experienced in data engineering, data science, AWS solutions, and engineering management, and has acted as a technical editor on a number of Python and data science-related publications. He has experience developing a training curriculum used in international economic development and more than a decade of hands-on Python experience. Kennedy has recently acted as both a content specialist for AWS Machine Learning certification development and as a technical editor for the book Pragmatic AI: An introduction to Cloud-Based Machine Learning (Pearson, 2018). He is also a founder of Pragmatic AI Labs.

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

Released 8/2019