Handing Time Series data in highly available and scalable way has always been a significant challenge.

In this session we will introduce you to the newly open-sourced Riak TS (Time Series) database and show you how to get started and how to analyze time series data with Python, Pandas and Jupyter.

We will explain how RiakTS has been designed specifically for handling vast amounts of time series data, and will also show you how to utilize Python for time series data analysis.

During the demonstration phase we will use Jupyter to write and execute Python code that:

• Creates a table in Riak TS
• Populates the table with data
• Queries the data that we added
• Uses Pandas to visualize the results of our queries

Craig Vitter

Solutions Architect,
Basho

Craig has been designing and building data driven applications for more than twenty years.

At Basho, Craig works with customers looking to architect and build applications on top of Riak KV or Riak TS.