Phil Berman and Michael T Minella present a solution developed with Spring XD to stream real-time analytics from a moving car using open standards.
Jesus Rodriguez explores the characteristics of the IOT PaaS vs. predecessor PaaS architectures, focusing on device management, event driven integration, real-time analytics and offline communication.
Lyndon Maher, Paul McManus discuss data driven development, how to collect data, getting feedback, tools to use, and how to integrate a data-driven mentality into the team.
Sharad Murthy & Tony Ng present Pulsar, a real-time streaming system which can scale to millions of events per second with high availability and 4GL language support.
Julien Lavigne du Cadet discusses how Criteo uses Druid: an open-source, real-time data store designed to power interactive applications at scale, covering Druid's architecture and internals.
Evelina Gabasova explains how to run a social network analysis on Twitter and how to use data science tools to find out more about followers.
Thore Thomassen shares from experience how to combine structured data in a DWH with unstructured data in NoSQL, and using parallel data warehouse appliances to boost the analytical capabilities.
Bob Kelly presents case studies on how Platfora uses Hadoop to do analytics for several of their customers.
Seth Juarez shares insight on how to create applications that use dashboards to drive value, convert raw data into answers, and simplify business processes.
Wesley Chow presents Chartbeat's real-time analytics platform and how able to handle the requests in a cost efficient manner using a custom written analytics engine in C and Lua.
Bryan Nehl makes an introduction to the data science: data formats, ETL tools, NoSQL databases, languages, libraries, techniques and approaches for exploring data and extracting value from it.
Stefan Edlich discusses big data systems -Spanner, Presto- and the future of data persistence, data analytics, data formats and of NoSQL/NewSQL in general.