The Spark Summit 2017 conference is about to take place, featuring over 175 talks led by top experts in the Apache Spark ecosystem. These sessions will cover various topics such as machine learning, data science, and real-world case studies, aiming to enhance attendees' skills in these areas. The conference includes a range of informative talks on machine learning, including discussions on the trajectory of MLlib, embracing a taxonomy of types for simplification, extending Spark's machine learning pipelines, and applying AI to increase user retention. Additionally, there will be live demos and a guide available for designing, building, and deploying Spark applications using the SingleStore Spark Connector.