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Data Engineering with Python and AWS Lambda

سرفصل های دوره

Introduction
  • 001. Data Engineering with Python and AWS Lambda LiveLessons Introduction

  • Lesson 1 Get Started with AWS Lambda
  • 001. 1.1 Create a Hello World AWS Lambda function in the console
  • 002. 1.2 Learn basic Lambda patterns
  • 003. 1.3 Learn Lambda Management console
  • 004. 1.4 Upload external code to AWS Lambda

  • Lesson 2 Use Cloud9 to Develop Python Lambda Functions
  • 001. 2.1 Set up Cloud9
  • 002. 2.2 Develop with Cloud9
  • 003. 2.3 Launch Cloud9 and workspace configuration
  • 004. 2.4 Import Lambda functions
  • 005. 2.5 Invoke Lambda functions
  • 006. 2.6 Invoke Lambda functions inside API Gateway
  • 007. 2.7 Deploy a Lambda function

  • Lesson 3 Create Timed Lambda Functions
  • 001. 3.1 Use AWS Lambda with Cloudwatch events
  • 002. 3.2 Use AWS Lambda to populate AWS SQS
  • 003. 3.3 Use AWS Cloudwatch logging with AWS Lambda

  • Lesson 4 Create Event-Driven Lambdas
  • 001. 4.1 Create a Producer Lambda function
  • 002. 4.2 Enable SQS Trigger
  • 003. 4.3 Serverless data engineering architecture

  • Lesson 5 Learn SAM Local
  • 001. 5.1 Install SAM Local
  • 002. 5.3 Use SAM to package and deploy Lambda
  • 003. 5.2 Use SAM Local to invoke functions locally
  • 004. 5.5 Use SAM Lambda environment variables
  • 005. 5.4 Use SAM with IAM

  • Lesson 6 Learn AWS Glue
  • 001. 6.1 What is AWS Glue
  • 002. 6.2 Use AWS Glue

  • Lesson 7 Create State Machines with Step Functions
  • 001. 7.1 Learn step functions
  • 002. 7.2 Use Amazon States Language
  • 003. 7.3 Step functions demo

  • Lesson 8 Use Step Functions with AWS Services
  • 001. 8.1 Learn integration with other AWS products
  • 002. 8.2 Use DynamoDB with step functions
  • 003. 8.3 Use AWS ECSFargate with step functions
  • 004. 8.4 Use AWS Callback Pattern

  • Lesson 9 Serverless Relational Databases
  • 001. 9.1 Serverless relational databases
  • 002. 9.2 Use Aurora Serverless
  • 003. 9.3 Use Data API for Aurora Serverless
  • 004. 9.4 Use stored procedures to invoke Lambda

  • Lesson 10 Build APIs with API Gateway
  • 001. 10.1 Use API Gateway
  • 002. 10.2 Integrate Lambda and API Gateway best practices

  • Lesson 11 Authenticate APIs with AWS Cognito
  • 001. 11.1 Begin Cognito authentication
  • 002. 11.2 Use Cognito User Pools
  • 003. 11.3 Use Cognito authentication with API Gateway
  • 004. 11.4 Use Federated Identity

  • Lesson 12 Use Serverless Datastores
  • 001. 12.1 Use DynamoDB for data engineering
  • 002. 12.2 Use Amazon Athena for data engineering
  • 003. 12.3 Use Amazon EMR for data engineering
  • 004. 12.4 Use Amazon EFS for data engineering

  • Lesson 13 Create Serverless Business Intelligence and AutoML
  • 001. 13.1 Integrate Amazon Quicksite
  • 002. 13.2 Integrate Lambda with AI APIs
  • 003. 13.3 Integrate Lambda with Sagemaker

  • Lesson 14 Create Serverless Data Streaming
  • 001. 14.1 Use Kinesis Streams
  • 002. 14.2 Use Computer Vision Streams

  • Lesson 15 Case Studies
  • 001. 15.1 Compare AWS Lambda with Google Cloud Functions
  • 002. 15.2 Use GCP Cloud Functions with Pub Sub + Cloud Scheduler
  • 003. 15.3 Use Chalice framework
  • 004. 15.4 Push versus Pull Architecture
  • 005. 15.5 Principles of DevOps
  • 006. 15.6 Principles of cloud computing
  • 007. 15.7 Summary of serverless computing
  • 008. 15.8 Managing Packages in AWS Lambda
  • 009. 15.9 Multi-cloud solutions

  • Lesson 16 Course Summary
  • 001. 16.1 Course summary
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