Mark Paluch and John Blum present the changes in Spring Data Cassandra and what to expect from the upcoming version.
Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.
Christoph Strobl explains Redis' Object Hash Mapping and Secondary Indexes as well as the Spring Data Repository abstraction that lets one seamlessly interact with Redis.
Christoph Strobl and Mark Paluch overview the new features introduced in the latest Spring Data release trains, covering improvements to Commons, JPA, MongoDB, Redis, and the community modules.
Eitan Suez explores the question: Where does Geode fit in an organization's system architecture, suggesting one particular fit for Geode in the context of a CQRS architecture.
Greg Turnquist explains how Spring Data avoids writing data queries by hand and provides the means to avoid SQL lock-in and connect to multiple data stores.
Rajat Monga talks about why Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it.
David Fisher discusses via example how to build a data navigation language into visualizations, providing an intuitive user experience via the mechanism of subtle visual cuing.
Troy Magennis explains in this workshop how to capture data and use it for reliable project forecasting using a practical and simple approach to forecasting without item effort estimation.
Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.
Aaron Spiegel reviews common scaling techniques for both relational and NoSQL databases, discussing trade-offs of these techniques and their effect on query flexibility, transactions and consistency.
Ben Lackey and Cornelia Davis start with the use cases for on-demand, dedicated DSE clusters, cover the solution design, and demo the system, touching also the support that Spring has for Cassandra.