Join Russell to discuss the analytics methodology outlined in his book Agile Data Science 2.0 and the creation, deployment, and iterative improvement of a real-time predictive system using Python, Spark MLlib, Spark Streaming, Kafka, MongoDB, and JQuery.
Russell Jurney is principal consultant at Data Syndrome, a product analytics consultancy dedicated to advancing the adoption of the development methodology Agile data science, as outlined in the book Agile Data Science 2.0 (O’Reilly, 2017). Previously, he worked as a data scientist building data products for over a decade, starting in interactive web visualization and then moving toward full stack data products, machine learning, and artificial intelligence at companies such as NING, LinkedIn, Hortonworks and Relato. He’s a self-taught visualization software engineer, data engineer, data scientist, writer, and most recently teacher. In addition to helping companies build analytics products, Data Syndrome offers live and video training courses.
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