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Wendelin Big Data Learning Track

  • Last Update:2020-08-04
  • Version:003
  • Language:en

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