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:

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-


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

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

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

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

#!/bin/bash

# Set as cronjob
# *	*	*	*	*	/root/scripts/iptables-ddns.sh >> /root/logs/iptables-ddns.log 2>&1

log () {
    echo "[$(date "+%F +%T")] [$1] $2" >> "$LOGS/changes.log"
}

HOSTS="mydynamichost.ddns.net"

anderson-marques

podman run --rm -it --env-file credentials.env -v /mnt$(pwd)/my-folder:/${WORKDIR}//my-folder/:Z ${PROJECT_NAME}:base sh

anderson-marques

import { SendWelcomeMessageInteractor } from "../marketing/control/send-welcome-message";
import { CustomerEventNames, CreateCustomerEvent } from "../customer/entity/customer-event";
import { S3PutEvent, S3PutEventEntry } from "../s3/entity/put-event-entry";
import { DataLakeGateway } from "../datalake/boundary/datalake-gateway";

const dataLakeGateway = DataLakeGateway.newInstance();
const sendWelcomeMessageInteractor = SendWelcomeMessageInteractor.newInstance();

const extractEventIdAndEventName = (
  s3PutEventEntry: S3PutEventEntry

anderson-marques

AWSTemplateFormatVersion: "2010-09-09"
Transform: AWS::Serverless-2016-10-31
Description: >
  SAM Template - Example of S3 Event processing
  Process related events: CustomerCreated, CustomerDeleted, CustomerUpdated

Parameter:
  DataLakeBucket:
    Type: String
    Default: com-mycompany-datalake-bucket

anderson-marques

export type S3PutEventEntry = {
  eventVersion: string;
  eventsource: string;
  awsRegion: string;
  eventTime: string;
  eventName: string;
  userIdentity: Record<string, unknown>;
  requestParameters: Record<string, unknown>;
  responseElements: Record<string, unknown>;
  s3: {