anderson-marques

const http = require('http');

const GITLAB_OAUTH_AUTHORIZATION_URL = 'https://gitlab.com/oauth/authorize'
const GITLAB_OAUTH_CLIENT_ID = 'change-me'
const SERVER_PORT = 4321

let config = {
    'base_url': GITLAB_OAUTH_AUTHORIZATION_URL,
    'client_id': GITLAB_OAUTH_CLIENT_ID,
    'redirect_uri': `http://localhost:${SERVER_PORT}/cb`,

anderson-marques

https://chat.openai.com/share/c6913b30-41ab-4e81-9b21-066d96842907

anderson-marques

How to set up an EC2 schedule using AWS Systems Manager (SSM) Maintenance Windows

Prerequisites:

1. Make sure you have AWS CLI installed and configured.
2. Ensure you have an IAM Role with the necessary permissions for SSM and EC2 start/stop operations.

Step-by-Step Playbook:

1. Create the Maintenance Window for Stopping the EC2 instance:

anderson-marques

O nosso data flow é:
   (S3) -> (Lambda/Python) -> Glue (Transferencia e Metadados) -> (S3) -> Glue -> Redshift (DW) -> QuickSight (Visualização)
     -> Athena (Queries nos dados crus) ou QuickSight (Visualização)
- AWS Glue para o processo de extração dos dados "crus". Estou exporando o DBT. 
- A partir de dados armazendos no S3 (DB, arquivos) - voce faz a primeira filtragem e gera um novo Dataset-


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- https://www.databricks.com/product/data-intelligence-platform
- https://www.databricks.com/product/data-intelligence-platform

anderson-marques

Keybase proof

I hereby claim:

• I am anderson-marques on github.
• I am mccanderson (https://keybase.io/mccanderson) on keybase.
• I have a public key ASB1xgOAbqJl320g1Mf5iQQsEuPVj5M5xs80133Cb8gAOQo

To claim this, I am signing this object: