IoT: Applying Machine Learning to Real-time Sensor Data on Spark and Kafka

Join Talend as they bring you a deep discussion on the real-world technologies that underlie IoT (Internet of Things). Working with real-time, streaming data from mobile phone sensors, and using tools that you can use yourself, we walk through the process of building a machine learning solution with Spark and Kafka to collect and analyze user activity. If you are using Kafka, Spark, or any real-time data technologies, or even if you are just trying to get a better understanding of them, this event is for you. Here’s Norbert's blog post around it:

https://www.talend.com/blog/2017/04/14/applying-machine-learning-to-iot-sensors/

About the Speaker: Norbert Kurpa, Master of Science in Computer Science from Northeastern Illinois University Experienced and self-directed sales engineering professional adept at leading technical sales activities, defining solutions that meet business and technical requirements of existing and prospective customers and assuming subject matter expert responsibilities. In my current role, I work hands-on with customers with one of the best technologies in the market, demonstrating how Talend can make the customer's business data-driven.

About Talend: We are an open source-based data provisioning, curation, and analysis platform, and we have invested heavily in integrating traditional ETL and data stores with emerging analytics technologies such as Hadoop and Spark, as well as a variety of NoSQL data stores like MongoDB and Cassandra.

More info: Talend.com.

Talend is providing food and drinks for this event.