Have you ever wondered how to develop a service and deploy it into the cloud? In this tutorial come join us and learn how to develop a service and integrate with other services on Bluemix, IBM’s award winning hybrid cloud development platform.
IBM Analytics for Apache Spark is now opening up new avenues to develop next-generation analytics that combine the power of Spark with the rich set of data-centric Services available on Bluemix in new and innovative ways. The contents of this tutorial includes a deep dive and detailed code walk through of a sample application that does sentiment analysis on twitter conversations by integrating Spark streaming and Spark Twitter API with Watson Tone Analyzer Service. In this presentation, you’ll learn how to set up a local development environment for Scala using the SBT tool, how to package, deploy and run your Spark Streaming application on a Jupyter Scala Notebook on Bluemix and finally how to create compelling analytics and visualization’s using a IPython Notebook.
We’ll complete the tutorial with a discussion on the main Spark use cases and the architectural patterns to implement them.
This tutorial is sponsored by IBM
Romeo Kienzler holds a Master Degree in Information Systems with specialisation in Applied Statistics and Bioinformatics from the Swiss Federal Institute of Technology. He works for IBM Zurich as a chief data scientist and architect. His current research focus is on large-scale machine learning on resilient cloud infrastructures based on Apache Spark and Apache Flink on top of Docker Swarm.
Romeo Kienzler is a Member of the IBM Academy of Technology, the IBM Technical Expert Council and the IBM BigData BlackBelts team.
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