Creating an Advanced Analytics Server in 15 minutes using AWS

Clever_Anjos — Wed, 16 Dec 2020 15:54:04 GMT

This guide will help you to create an Advanced Analytics Server running Python into AWS infrastructure in less than 15 minutes

Prereqs

Go to EC2 Console
Click "Launch Instance"
Choose your favorite Linux distro (Used Ubuntu 18.04 into this tutorial, docker installation could differ slightly on Centos or another distro)
Choose your Instance Type (t2.micro is enough for standard demos and is eligible to free tier)
Use the button "Review and Launch" option and then "Launch"
Choose an existing key pair or create a new one
Launch your instance
Release ports into security groups of your instance
Security Groups

Click into "launch-wizard-1" and then into Actions / Edit Inbound Rules and release TCP ports 50055, 22 all incoming trafficReleasing Ports

Prereqs

Steps

Connect to your instance using Putty (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/putty.html)
https://docs.docker.com/install/linux/docker-ce
Remove old docker installations
$ sudo apt-get remove docker docker-engine docker.io
Update the apt package

$ sudo apt-get update
QMC
Install packages to allow apt to use a repository over HTTPS:

$ sudo apt-get install \ apt-transport-https \ ca-certificates \ curl \ software-properties-common
Add Docker’s official GPG key

$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
Update and install docker

$ sudo apt-get update $ sudo apt-get install docker.io $ sudo apt-get install docker-compose
Add the current user to manage docker

$ sudo usermod -aG docker $USER
Log out and log back

Prereqs

1.Run the container

$ docker pull nabeeloz/qlik-py-tools

$ docker run -p 50055:80 -it nabeeloz/qlik-py-tools

Prereqs

QMC > Start >Analytic Connections > New

QMC

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