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Galvanize NYC Presents: Analyzing IBM Watson IoT Events Using Spark and Jupyter Notebooks

November 15, 2016 @ 6:30 pm - 8:30 pm



This meetup showcases how one can analyze the historical time series data, captured on the IBM Watson IoT platform, in a Jupyter Notebook using SparkSQL and Pandas DataFrames. In addition, to using the pre-installed matplotlib library to visualize results.
*This course is geared towards an introduction-intermediate audience covering the following:

Introduction to Spark

Section 1
What is Spark
Build an Apache Spark Application
Working with Pair RDD
Working with DataFrames
Monitoring Spark Applications
Spark Streaming
Advanced Spark
Spark Machine Learning

Section 2
Hands on- How to build Spark application using Notebook in Bluemix



    • 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


Speaker’s Bio



Saswata Sengupta is an Open Source Technical Evangelist for IBM Big data and Analytics group. He is a data science enthusiast and has involved IBM Data Science and Watson Cognitive solution. He has been working with 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 building several large-scale data warehouse, ETL and Business Intelligence solution.

Saswata holds a Masters from the University of Wales and enjoys reading, hiking, and CrossFit.






November 15, 2016
6:30 pm - 8:30 pm


Galvanize NYC Pop Up
315 Hudson Street
New York, NY 10013 United States


Galvanize NYC