We're excited to partner with IBM and theNew York Analytics Meetup group to host this event at our NYC location!

Join us Wednesday, November 30th as Saswata Sengupta (bio below) showcases how to analyze the historical time series data captured on the IBM Watson IoT platform in a Jupyter Notebook using Spark SQL and Pandas DataFrames. In addition, the speaker will showcase how to use thematplotlib library to visualize results.

Food and drinks will be provided.

Agenda

- Overview
- Ingredients
- Recipes to enhance Analytics in IBM Watson IoT Platform
- Introduction
- Create a Node-RED Application
- Create a Spark SQL DataFrame
- Create a Pandas DataFrame
- Visualize Temperature Readings
- Operations related to Maximum temperature
- Operations related to Average temperature
- Conclusion and the Road Ahead

Presenter:

Saswata Sengupta is an Open Source Technical Evangelist for IBM Big Data and Analytics group. He is a data science/engineering enthusiast who has worked in the technology industry for 16+ years and has been using Big Data Technologies for the past 4 years, developing analytical solutions using Hadoop, Hive, Spark, Storm, Kafka, and Elastic Search.He comes from an enterprise data warehouse and business intelligence background, having built several large-scale data warehouses, ETL, and Business Intelligence solutions.Saswata holds a Master's degree from theUniversity of Wales.