Giter Club home page Giter Club logo

nosql-sdoh's Introduction

Docker NoSQL and SDOH Data

Instructions for launching minimal working NoSQL database and loading CSV data

Prepare the data

In this example we will work with the SDOH data from AHRQ which can be found here: https://www.ahrq.gov/sdoh/data-analytics/sdoh-data.html

Download one of the ZIP Code Data XLS files.

Open the file in Excel and export the Data tab to CSV. There are instructions for two different databases with their respective front-end components.

Nex we need to install docker and make sure that it is running properly on our computer.

Install Docker for your operating system.

Start page: Docker Desktop

To test your Docker installation try the Hello-World example ad described here https://hub.docker.com/_/hello-world

docker run hello-world

You will see an output similar to this one

$ docker run hello-world
Unable to find image 'hello-world:latest' locally
latest: Pulling from library/hello-world
719385e32844: Pull complete
Digest: sha256:a13ec89cdf897b3e551bd9f89d499db6ff3a7f44c5b9eb8bca40da20eb4ea1fa
Status: Downloaded newer image for hello-world:latest

Hello from Docker!
This message shows that your installation appears to be working correctly.

To generate this message, Docker took the following steps:
 1. The Docker client contacted the Docker daemon.
 2. The Docker daemon pulled the "hello-world" image from the Docker Hub.
    (amd64)
 3. The Docker daemon created a new container from that image which runs the
    executable that produces the output you are currently reading.
 4. The Docker daemon streamed that output to the Docker client, which sent it
    to your terminal.

Next we will install the NoSQL database Elasticsearch together with its dashboard component called Kibana. Install Elastic-Kibana and Load Data

We will also demonstrate another NoSQL database MongoDB and the UI component for interfacing with Mongo called Compass Install MongoDB and Load Data

nosql-sdoh's People

Contributors

mirkenstein avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.