In this lecture we learn how to industrialise data science with wendelin.

We describe the process of ingesting, storing, processing and visualising 2 types of data in Data Lake using 2 different tools

• Batch data using embulk
• Stream data using Fluentd

We will discuss each step in details in following tutorials.

First we will learn how to use embulk to transfer batch data to wendelin.

Embulk has many input plugins to get data from all kinds of data sources, here we use an example of transferring data from mongodb.

Once we have data in our Data Lake we will show how to manipulate data.

As the final step we will show to visualise data using notebooks with plotly chart editor.