Datamass Summit 2017 Videos Tomasz Sosiński - Machine Learning on Streams of Data Wit Jakuczun - Managing large (and small) R based solutions with R Suite Wojciech Pituła - Why do we need 9 different data processing engines? Tomasz Szczechura - Skalowalny OLAP Tomasz Żukowski & Piotr Krewski - Truecaller - towards a data-driven company Agnieszka Potulska & Tylenda Piotr -Log Analytics in Datacenter Piotr Czarnas - Kappa Architecture for event processing Claudio Villar - Machine Learning for product development Łukasz Ćmielowski - Watson Machine Learning Balazs Gaspar - Data Science with Cloudera Mirosław Walukiewicz - Accelerating BigData workloads Jakub Dąbkowski - Dreamer's guide to big data Łukasz Grala - Machine Learning for Big Data in SQL Server Jakub Nowacki - Real-Time Machine Learning in Streaming Data Pipelines Michal Adamski - Designing for Business: Customer Centric Self-Service BI Michał Żyliński - Deploying lambda architecture on top of Microsoft Azure platform Maciej Godek - The Principles of Functional Programming