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#Cygni competence - 7 databases

This course is based on the book Seven Databases in Seven Weeks. Each chapter will be covered on the following occassions. Note that the chapter on Riak has been replaced with ElasticSearch.

Stockholm

Date Database Trainer
2016-11-17 CouchDB Daniel Lenksjö
2016-12-12 Neo4J Johannes Dolk
2017-01-31 Redis Emil Bergström
2017-02-15 PostgreSQL Rickard Lindström
2017-03-09 MongoDB Fortunato Flores Ando
2017-03-27 HBase Pär Tjärnberg
2017-04-27 ElasticSearch Henrik L. + Breding

Göteborg

Date Database Trainer
2016-11-24 CouchDB Daniel Lenksjö
2016-12-20 Neo4J Johannes Dolk
2017-01-31 Redis Emil Bergström
2017-02-21 PostgreSQL Rickard Lindström
2017-03-13 MongoDB Fortunato Flores Ando
2017-04-10 HBase Pär Tjärnberg
2017-05-11 ElasticSearch Henrik L. + Breding

Course structure

We have prepared docker images for each occasion to reduce the time and effort needed to get database instances up and running. See the README.md for each database for specific guidelines. Please make sure that you have read the chapter in the book as well as the 'Before we start' section in the README.md for the applicable database before the occasion. Also ensure that you have a docker installation that is working on your computer. See below for installation instructions on different platforms.

Docker on Windows 10

On windows 10, you should install 'Docker for Windows'. This installation uses Hyper-V to run the Docker host.

Docker on Windows 7 or 8

On Windows 7 or 8, you have to install 'Docker Toolbox'.

Docker for Mac

Note that the old way of using Docker on OSX with docker-machine is not recommended!

Test docker

Make sure your docker installation works by running a simple 'hello-world' container:

$ docker run hello-world

You should see the following output:

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.
 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.

To try something more ambitious, you can run an Ubuntu container with:
 $ docker run -it ubuntu bash

Share images, automate workflows, and more with a free Docker Hub account:
 https://hub.docker.com

For more examples and ideas, visit:
 https://docs.docker.com/engine/userguide/

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