Easy Time Series Analysis with Riak TS, Python, Pandas & Jupyter

Craig Vitter, Solutions Architect, Basho

Free beer + drinks, candy, swag and more!

A Database Month event http://www.DBMonth.com/database/riak-ts

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 (http://www.Basho.com), Craig works with customers looking to architect and build applications on top of Riak KV or Riak TS.

Swag giveaway + food/drinks at 6:30pm
Power-Networking at 6:35pm
Presentation starts at 6:40pm

Did you know that Techie Youth (http://www.TechieYouth.org) is the ONE-AND-ONLY organization providing career-opportunities to severely-at-risk foster-youth in New York?

Techie Youth (http://www.TechieYouth.org) is a 501c3 not-for-profit charity of NYC that provides technology-education, followed by assistance beginning an IT-career, to at-risk youth in NYC & Long Island who are in foster-care and classified as being severely-at-risk of becoming homeless and/or incarcerated in the next 18-24 months.

These kids need YOU, they have nobody else.
Please help them. Learn about Nadine, a student of Techie Youth: http://www.TechieYouth.org/hope