High Speed Data Visualization - Kafka meets Elastic Search. Hosted by Conversant

Conversant will present a live demo and a working session on high speed near real time data visualization. In the world of stream processing, choosing the right framework can be overwhelming. Regardless of the framework all the integration leads to Kafka. This session demonstrates high speed data visualization using Kafka, Spark Streaming, Elastic Search and Kibana. Furthermore, using Jupyter notebook, this presentation will show the ease and flexibility of interactive stream development and prototyping.

Food & Drinks will be provided

Speaker Bio:
Mike Keane is a strong data enthusiast and hands-on technology leader. At Conversant he leads a team of Engineers as the Director, Data Warehouse. His team manages the data pipelines and intra-day data processing utilizing Kafka, Spark and various Hadoop ecosystem components. The data pipelines processes over 300 billion rows of log data daily as well perform numerous aggregations data for reporting, monitoring and budgeting and pacing purposes. Mike has a passion for data driven application development and is a active in the open source community in Chicago. In his spare time, he has been instrumental in forming the Chicago Area Kafka Enthusiasts (CAKE) Meetup.

About Conversant:
Conversant, a leader in personalized digital marketing, transforming the industry through cutting-edge technology, bold creative and a staggering amount of data. Our roster of 4,000 clients includes 400+ blue chip brands and 65 of the Internet Retailer Top 100. Coupled with the world's largest affiliate marketing network, CJ Affiliate, we drive measurable, remarkable results. Conversant is a division of Epsilon, the global leader in creating customer connections that build brand and business equity.