Mark Paluch and John Blum present the changes in Spring Data Cassandra and what to expect from the upcoming version.
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.
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.
Dieter Hubau explains the workings of a Spring Boot Starter project and goes over the necessary code for creating one using his recently developed starter for integrating Spring Social with Redis.
Nuri Halperin discusses the aggregation framework in MongoDB, explaining the pipeline architecture, major operators, and how to put it all together in interesting and effective ways.
Songxiao Zhang introduces Pyh3, a graph visualization library showing tree nodes in a 3D hyperbolic space.
Mallika Iyer and Sam Weaver cover a brief overview of Pivotal Cloud Foundry and deep dive into running MongoDB as a managed service on this platform.
Mark Needham shows how a meetup recommendation engine using Neo4j and Clojure can be built from scratch, combining content-based and collaborative filtering using Cypher and Clojure.
Pat Patterson and Ted Malaska talk about current and emerging data processing technologies, and the various ways of achieving "at least once" and "exactly once" timely data processing.
Matthew Sackman discusses dependencies between transactions, how to capture these with Vector Clocks, how to treat Vector Clocks as a CRDT, and how GoshawkDB uses them for a distributed data store.