This learning track contains a sequence of lectures teaching how to setup and use Wendelin. After finishing this learning track, you should have a ready-to-use Wendelin system and be familiar with setting up a sensor, retrieve, analyse and visualize data.
Lecture 1: Wendelin Introduction
This lecture will introduce Wendelin and underlying concepts.
Lecture 2: Setup
There are 2 ways to setup Wendelin - Wendelin standalone and Wendelin provisioned with SlapOS.
Wendelin Standalone is a quick way to test Wendelin and to do the tutorials in Lecture 3.
Wendelin provisioned with SlapOS is recommended for production.
If you are planning to do all the tutorials Setup B is advised to use.
Setup A: Wendelin Standalone
Setup B: Wendelin with SlapOS
These tutorials describe installation process of Wendelin on Slapos.
Lecture 3: Wendelin for Data Scientists
This section teaches how to use Data Lakes in Wendelin, how to easily upload and download data using ebulk.
Lecture 3.1: Data Lake Basics
Lecture 3.2: Big Data Collaboration
Lecture 4: Wendelin for Data Science Industrialisation
This section shows on a specific example how to configure wendelin, receive streaming data using fluentd and batch data using embulk, as well as how to create simple notebook and visualise data.
Lecture 4.1: Dynamic Ingestion Policies
Lecture 4.2: Automated Batch Ingestion
- How to Request embulk on SlapOS
Lecture 4.3: Automated Data Streaming
Lecture 4.4: Data Processing Workflow
Lecture 4.5: Data Visualisation
Lecture 4.6: Industrialize Machine Learning