Implementar uma arquitetura completa que consome a Punk API, ingere em um S3 Bucket por meio do Kinesis Stream, cria uma tabela com AWS Glue Table e treina um modelo de Machine Learning para classificar as bebidas em seus respectivos
ibus.
Para acessar os notebooks via colab:
- ✔️ Exploração da API
- ✔️ Modelo ML
This Action enables you to run AWS SAM CLI commands in order to build, package, and deploy serverless applications as part of your workflow.
- Batch Data Processing with AWS Kinesis Firehose and S3 | Overview
- AWS Kinesis Firehose to S3 Tutorial | Step by Step Setup Guide
- AWS S3 File Upload + Lambda Trigger (Tutorial In Python) | Step by Step Guide
- Serverless
- How to Handle your Python packaging in Lambda with Serverless plugins
- Github and Colab
- AWS Serverless Application Model
- AWS Serverless Application Repository
- Using GitHub Actions to deploy serverless applications
- Working with stacks
- Sessions With SAM (S1E4): Building a Kinesis Firehose application for ingesting website access logs
- aws-samples/sessions-with-aws-sam
- Amazon Kinesis Data Firehose Data Transformation
- Writing to Kinesis Data Firehose Using Kinesis Data Streams
- Writing to Kinesis stream using AWS Lambda Function
- How do I give permissions to my Lambda functions by using policies and roles in AWS SAM templates?
- SVS317-R Serverless stream processing pipeline best practices
- ANT316 Choosing the right service for your data streaming needs
- ANT326 Building a streaming data platform with Amazon Kinesis
- Building real time data pipelines with AWS Kinesis