In the Internet of Everything, huge volumes of multimedia data are generated at very high rates by heterogeneous sources in various formats, such as sensors readings, process logs, structured data from RDBMS, etc. The need of the hour is setting up efficient data pipelines that can compute advanced analytics models on data and use results to customize services, predict future needs or detect anomalies. This Webinar explores the TOREADOR conversational, service-based approach to the easy design of efficient and reusable analytics pipelines to be automatically deployed on a variety of cloud-based execution platforms.