John Leach explains using HBase co-processors to support a full ANSI SQL RDBMS without modifying the core HBase source, showing how Hadoop/HBase can replace traditional RDBMS solutions.
The authors focus on POJO persistence over Cassandra, including automatic Cassandra schema generation and Spring context configuration using both XML and Java.
Roman Shaposhnik discusses more advanced features of HDFS, in addition to how YARN has enabled businesses to massively scale their systems beyond what was previously possible.
Sergi Almar reviews the architecture behind WebSocket and tries to show how to build highly scalable applications with it.
Yann Yu discusses how Solr and Hadoop complement each other, and how to use Solr as a real-time, analytical, full-text search front-end to data stored in Hadoop.
Leslie Lamport makes the case for separating the design details of what a program should do and how it should work from the business of writing code, and discusses how the design process should work.
Sid Anand discusses the architectural and development practices adopted by LinkedIn as a continuous growing company.
This talk goes over the design motivation for Zen and describe its internals including the API, type system and HBase backend.
John Bunting talks about different services Tumblr has built and how their architecture helps them be fault tolerant as they continue to grow.
Juergen Hoeller illustrates basic Spring Framework 4.0 concepts and selected Java 8 features within Spring's programming model, exploring the impact on application architectures.
Jeremy Stieglitz discusses best practices for a data-centric security , compliance and data governance approach, with a particular focus on two customer use cases.
Melody Meckfessel explores how Google's engineering teams use CD to build products and scale them, and how their strain of DevOps speeds launches and helps their engineering culture thrive.